paper_channels.json

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{"paper_id": "103-Oral", "channel_name": "paper-103-Oral", "paper_title": "Examining Gender and Racial Bias in Large Vision--Language Models Using a Novel Dataset of Parallel Images"}
{"paper_id": "104", "channel_name": "paper-104", "paper_title": "ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases"}
{"paper_id": "105", "channel_name": "paper-105", "paper_title": "Entity Linking in the Job Market Domain"}
{"paper_id": "107-Oral", "channel_name": "paper-107-Oral", "paper_title": "A* shortest string decoding for non-idempotent semirings"}
{"paper_id": "108-Oral", "channel_name": "paper-108-Oral", "paper_title": "Multimodal Fallacy Classification in Political Debates"}
{"paper_id": "11", "channel_name": "paper-11", "paper_title": "Generating Benchmarks for Factuality Evaluation of Language Models"}
{"paper_id": "110-Oral", "channel_name": "paper-110-Oral", "paper_title": "The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks"}
{"paper_id": "111", "channel_name": "paper-111", "paper_title": "Importance-Aware Data Augmentation for Document-Level Neural Machine Translation"}
{"paper_id": "112-Oral", "channel_name": "paper-112-Oral", "paper_title": "Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation"}
{"paper_id": "116", "channel_name": "paper-116", "paper_title": "Comparing Template-based and Template-free Language Model Probing"}
{"paper_id": "117", "channel_name": "paper-117", "paper_title": "Desiderata For The Context Use Of Question Answering Systems"}
{"paper_id": "119", "channel_name": "paper-119", "paper_title": "On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models"}
{"paper_id": "120", "channel_name": "paper-120", "paper_title": "Contextualization Distillation from Large Language Model for Knowledge Graph Completion"}
{"paper_id": "121-Oral", "channel_name": "paper-121-Oral", "paper_title": "Scaling up Discovery of Latent Concepts in Deep NLP Models"}
{"paper_id": "123", "channel_name": "paper-123", "paper_title": "AnthroScore: A Computational Linguistic Measure of Anthropomorphism"}
{"paper_id": "123-Oral", "channel_name": "paper-123-Oral", "paper_title": "AnthroScore: A Computational Linguistic Measure of Anthropomorphism"}
{"paper_id": "125", "channel_name": "paper-125", "paper_title": "Centering the Speech Community"}
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{"paper_id": "126-Oral", "channel_name": "paper-126-Oral", "paper_title": "Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis"}
{"paper_id": "13", "channel_name": "paper-13", "paper_title": "More Discriminative Sentence Embeddings via Semantic Graph Smoothing"}
{"paper_id": "130-Oral", "channel_name": "paper-130-Oral", "paper_title": "Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora"}
{"paper_id": "131", "channel_name": "paper-131", "paper_title": "Simple Temperature Cool-down in Contrastive Framework for Unsupervised Sentence Representation Learning"}
{"paper_id": "132", "channel_name": "paper-132", "paper_title": "Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning"}
{"paper_id": "134", "channel_name": "paper-134", "paper_title": "Personalized Abstractive Summarization by Tri-agent Generation Pipeline"}
{"paper_id": "135", "channel_name": "paper-135", "paper_title": "VOLTAGE: A Versatile Contrastive Learning based OCR Methodology for ultra low-resource scripts through Auto Glyph Feature Extraction"}
{"paper_id": "137-Oral", "channel_name": "paper-137-Oral", "paper_title": "Unsupervised Contrast-Consistent Ranking with Language Models"}
{"paper_id": "139", "channel_name": "paper-139", "paper_title": "Revisiting the Markov Property for Machine Translation"}
{"paper_id": "14", "channel_name": "paper-14", "paper_title": "Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs"}
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{"paper_id": "141", "channel_name": "paper-141", "paper_title": "Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models"}
{"paper_id": "142", "channel_name": "paper-142", "paper_title": "Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method"}
{"paper_id": "145", "channel_name": "paper-145", "paper_title": "Towards Context-Based Violence Detection: A Korean Crime Dialogue Dataset"}
{"paper_id": "146-Oral", "channel_name": "paper-146-Oral", "paper_title": "Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations"}
{"paper_id": "147-Oral", "channel_name": "paper-147-Oral", "paper_title": "'It's how you do things that matters'': Attending to Process to Better Serve Indigenous Communities with Language Technologies"}
{"paper_id": "148-Oral", "channel_name": "paper-148-Oral", "paper_title": "LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions"}
{"paper_id": "149", "channel_name": "paper-149", "paper_title": "Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer"}
{"paper_id": "149-Oral", "channel_name": "paper-149-Oral", "paper_title": "Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer"}
{"paper_id": "150", "channel_name": "paper-150", "paper_title": "Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings"}
{"paper_id": "151", "channel_name": "paper-151", "paper_title": "Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues"}
{"paper_id": "153", "channel_name": "paper-153", "paper_title": "Source Identification in Abstractive Summarization"}
{"paper_id": "154", "channel_name": "paper-154", "paper_title": "Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning"}
{"paper_id": "155", "channel_name": "paper-155", "paper_title": "Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding"}
{"paper_id": "156-Oral", "channel_name": "paper-156-Oral", "paper_title": "Moderation in the Wild: Investigating User-Driven Moderation in Online Discussions"}
{"paper_id": "157", "channel_name": "paper-157", "paper_title": "Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching"}
{"paper_id": "157-Oral", "channel_name": "paper-157-Oral", "paper_title": "Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching"}
{"paper_id": "158", "channel_name": "paper-158", "paper_title": "Prosody in Cascade and Direct Speech-to-Text Translation: a case study on Korean Wh-Phrases"}
{"paper_id": "159", "channel_name": "paper-159", "paper_title": "From Partial to Strictly Incremental Constituent Parsing"}
{"paper_id": "159-Oral", "channel_name": "paper-159-Oral", "paper_title": "From Partial to Strictly Incremental Constituent Parsing"}
{"paper_id": "16", "channel_name": "paper-16", "paper_title": "  Hyper-BTS Dataset: Scalability and Enhanced Analysis of Back TranScription (BTS) for ASR Post-Processing"}
{"paper_id": "160", "channel_name": "paper-160", "paper_title": "Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations"}
{"paper_id": "161", "channel_name": "paper-161", "paper_title": "Where Do We Go From Here? Multi-scale Allocentric Relational Inferencefrom Natural Spatial Descriptions"}
{"paper_id": "162-Oral", "channel_name": "paper-162-Oral", "paper_title": "Predict the Next Word: <Humans exhibit uncertainty in this task and language models _____>"}
{"paper_id": "163", "channel_name": "paper-163", "paper_title": "Backtracing: Retrieving the Cause of the Query"}
{"paper_id": "164", "channel_name": "paper-164", "paper_title": "Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling"}
{"paper_id": "165", "channel_name": "paper-165", "paper_title": "Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias"}
{"paper_id": "165-Oral", "channel_name": "paper-165-Oral", "paper_title": "Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias"}
{"paper_id": "166", "channel_name": "paper-166", "paper_title": "Investigating grammatical abstraction in language models using few-shot learning of novel noun gender"}
{"paper_id": "168-Oral", "channel_name": "paper-168-Oral", "paper_title": "Document Structure in Long Document Transformers"}
{"paper_id": "17", "channel_name": "paper-17", "paper_title": "ParrotTTS: Text-to-speech synthesis exploiting disentangled self-supervised representations"}
{"paper_id": "170", "channel_name": "paper-170", "paper_title": "The Role of Data Curation in Image Captioning"}
{"paper_id": "170-Oral", "channel_name": "paper-170-Oral", "paper_title": "The Role of Data Curation in Image Captioning"}
{"paper_id": "171-Oral", "channel_name": "paper-171-Oral", "paper_title": "Large-Scale Bitext Corpora Provide New Evidence for Cognitive Representations of Spatial Terms"}
{"paper_id": "174-Oral", "channel_name": "paper-174-Oral", "paper_title": "REFINER: Reasoning Feedback on Intermediate Representations"}
{"paper_id": "175-Oral", "channel_name": "paper-175-Oral", "paper_title": "HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations"}
{"paper_id": "176-Oral", "channel_name": "paper-176-Oral", "paper_title": "LOCOST: State-Space Models for Long Document Abstractive Summarization"}
{"paper_id": "177", "channel_name": "paper-177", "paper_title": "Style Vectors for Steering Generative Large Language Models"}
{"paper_id": "179", "channel_name": "paper-179", "paper_title": "A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation"}
{"paper_id": "18", "channel_name": "paper-18", "paper_title": "NavHint: Vision and Language Navigation Agent with a Hint Generator"}
{"paper_id": "180-Oral", "channel_name": "paper-180-Oral", "paper_title": "A Prompt Response to the Demand for Automatic Gender-Neutral Translation"}
{"paper_id": "182", "channel_name": "paper-182", "paper_title": "Improving Generalization in Semantic Parsing by Increasing Natural Language Variation"}
{"paper_id": "182-Oral", "channel_name": "paper-182-Oral", "paper_title": "Improving Generalization in Semantic Parsing by Increasing Natural Language Variation"}
{"paper_id": "183-Oral", "channel_name": "paper-183-Oral", "paper_title": "Text-to-Code Generation with Modality-relative Pre-training"}
{"paper_id": "184-Oral", "channel_name": "paper-184-Oral", "paper_title": "No Error Left Behind: Multilingual Grammatical Error Correction with Pre-trained Translation Models"}
{"paper_id": "185", "channel_name": "paper-185", "paper_title": "Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?"}
{"paper_id": "186", "channel_name": "paper-186", "paper_title": "Quantifying Stereotypes in Language"}
{"paper_id": "187", "channel_name": "paper-187", "paper_title": "Consistent Joint Decision-Making with Heterogeneous Learning Models"}
{"paper_id": "19-Oral", "channel_name": "paper-19-Oral", "paper_title": "Archer: A Human-Labeled Text-to-SQL Dataset with Arithmetic, Commonsense and Hypothetical Reasoning"}
{"paper_id": "190", "channel_name": "paper-190", "paper_title": "Probing Critical Learning Dynamics of LLMs for Hate Speech Detection"}
{"paper_id": "191-Oral", "channel_name": "paper-191-Oral", "paper_title": "Generation, Distillation and Evaluation of Motivational Interviewing-Style Reflections with a Foundational Language Model"}
{"paper_id": "192", "channel_name": "paper-192", "paper_title": "Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers"}
{"paper_id": "194", "channel_name": "paper-194", "paper_title": "The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models"}
{"paper_id": "196", "channel_name": "paper-196", "paper_title": "Multi-Reference Benchmarks for Russian Grammatical Error Correction"}
{"paper_id": "197", "channel_name": "paper-197", "paper_title": "Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors"}
{"paper_id": "198-Oral", "channel_name": "paper-198-Oral", "paper_title": "Plan-Grounded Large Language Models for Dual Goal Conversational Settings"}
{"paper_id": "199-Oral", "channel_name": "paper-199-Oral", "paper_title": "“Define Your Terms” : Enhancing Efficient Offensive Speech Classification with Definition"}
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{"paper_id": "200", "channel_name": "paper-200", "paper_title": "VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension"}
{"paper_id": "201-Oral", "channel_name": "paper-201-Oral", "paper_title": "CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations"}
{"paper_id": "202-Oral", "channel_name": "paper-202-Oral", "paper_title": "It's All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons"}
{"paper_id": "203-Oral", "channel_name": "paper-203-Oral", "paper_title": "HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification"}
{"paper_id": "205", "channel_name": "paper-205", "paper_title": "Do-Not-Answer: Evaluating Safeguards in LLMs"}
{"paper_id": "206-Oral", "channel_name": "paper-206-Oral", "paper_title": "M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection"}
{"paper_id": "207-Oral", "channel_name": "paper-207-Oral", "paper_title": "A Truly Joint Neural Architecture for Segmentation and Parsing"}
{"paper_id": "208", "channel_name": "paper-208", "paper_title": "ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text"}
{"paper_id": "210-Oral", "channel_name": "paper-210-Oral", "paper_title": "Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation"}
{"paper_id": "211-Oral", "channel_name": "paper-211-Oral", "paper_title": "Unleashing the Power of Discourse-Enhanced Transformers for Propaganda Detection"}
{"paper_id": "213-Oral", "channel_name": "paper-213-Oral", "paper_title": "Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues"}
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{"paper_id": "215", "channel_name": "paper-215", "paper_title": "Do Language Models Know When They're Hallucinating References?"}
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{"paper_id": "218-Oral", "channel_name": "paper-218-Oral", "paper_title": "Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking"}
{"paper_id": "219", "channel_name": "paper-219", "paper_title": "Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection"}
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{"paper_id": "222-Oral", "channel_name": "paper-222-Oral", "paper_title": "Anchor Points: Benchmarking Models with Much Fewer Examples"}
{"paper_id": "223", "channel_name": "paper-223", "paper_title": "SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling"}
{"paper_id": "224", "channel_name": "paper-224", "paper_title": "Discovering and Articulating Frames of Communication from Social Media Using Chain-of-Thought Reasoning"}
{"paper_id": "226", "channel_name": "paper-226", "paper_title": "Rethinking STS and NLI in Large Language Models"}
{"paper_id": "227", "channel_name": "paper-227", "paper_title": "Learning High-Quality and General-Purpose Phrase Representations"}
{"paper_id": "228", "channel_name": "paper-228", "paper_title": "CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages"}
{"paper_id": "229", "channel_name": "paper-229", "paper_title": "Explaining Language Model Predictions with High-Impact Concepts"}
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{"paper_id": "233", "channel_name": "paper-233", "paper_title": "VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection"}
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{"paper_id": "243", "channel_name": "paper-243", "paper_title": "IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators"}
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{"paper_id": "249", "channel_name": "paper-249", "paper_title": "Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals"}
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{"paper_id": "265", "channel_name": "paper-265", "paper_title": "IndiFoodVQA: A Knowledge-Aware Reasoning-Based Visual Question Answering Dataset for Indian Food Dishes"}
{"paper_id": "267", "channel_name": "paper-267", "paper_title": "Rainbow - A Benchmark for Systematic Testing of How Sensitive Visio-Linguistic Models are to Color Naming"}
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{"paper_id": "283", "channel_name": "paper-283", "paper_title": "Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning"}
{"paper_id": "285", "channel_name": "paper-285", "paper_title": "Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback"}
{"paper_id": "286", "channel_name": "paper-286", "paper_title": "Investigating Agency of LLMs in Human-AI Collaboration Tasks"}
{"paper_id": "288", "channel_name": "paper-288", "paper_title": "Goodhart’s Law Applies to NLP’s Explanation Benchmarks"}
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{"paper_id": "413", "channel_name": "paper-413", "paper_title": "ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks"}
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{"paper_id": "417", "channel_name": "paper-417", "paper_title": "Small Language Models Improve Giants by Rewriting Their Outputs"}
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{"paper_id": "70", "channel_name": "paper-70", "paper_title": "Towards Hierarchical Spoken Language Disfluency Modeling"}
{"paper_id": "70-Oral", "channel_name": "paper-70-Oral", "paper_title": "Towards Hierarchical Spoken Language Disfluency Modeling"}
{"paper_id": "71-Oral", "channel_name": "paper-71-Oral", "paper_title": "Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion"}
{"paper_id": "73-Oral", "channel_name": "paper-73-Oral", "paper_title": "FAIR: Filtering of Automatically Induced Rules"}
{"paper_id": "74-Oral", "channel_name": "paper-74-Oral", "paper_title": "Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement"}
{"paper_id": "77", "channel_name": "paper-77", "paper_title": "Investigating the Potential of Task Arithmetic for Cross-Lingual Transfer"}
{"paper_id": "79", "channel_name": "paper-79", "paper_title": "PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation"}
{"paper_id": "80", "channel_name": "paper-80", "paper_title": "NNOSE: Nearest Neighbor Occupational Skill Extraction"}
{"paper_id": "80-Oral", "channel_name": "paper-80-Oral", "paper_title": "NNOSE: Nearest Neighbor Occupational Skill Extraction"}
{"paper_id": "82-Oral", "channel_name": "paper-82-Oral", "paper_title": "On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization"}
{"paper_id": "83", "channel_name": "paper-83", "paper_title": "Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts"}
{"paper_id": "84", "channel_name": "paper-84", "paper_title": "GAINER: Graph Machine Learning with Node-specific Radius for Classification of Short Texts and Documents"}
{"paper_id": "86", "channel_name": "paper-86", "paper_title": "  mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models"}
{"paper_id": "87", "channel_name": "paper-87", "paper_title": "MAFIA: Multi-Adapter Fused Inclusive Language Models"}
{"paper_id": "87-Oral", "channel_name": "paper-87-Oral", "paper_title": "MAFIA: Multi-Adapter Fused Inclusive Language Models"}
{"paper_id": "88", "channel_name": "paper-88", "paper_title": "Over-Reasoning and Redundant Calculation of Large Language Models"}
{"paper_id": "88-Oral", "channel_name": "paper-88-Oral", "paper_title": "Over-Reasoning and Redundant Calculation of Large Language Models"}
{"paper_id": "9", "channel_name": "paper-9", "paper_title": "GPTs Are Multilingual Annotators for Sequence Generation Tasks"}
{"paper_id": "93", "channel_name": "paper-93", "paper_title": "A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models"}
{"paper_id": "94-Oral", "channel_name": "paper-94-Oral", "paper_title": "Code-Switched Language Identification is Harder Than You Think"}
{"paper_id": "95", "channel_name": "paper-95", "paper_title": "Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM"}
{"paper_id": "96", "channel_name": "paper-96", "paper_title": "Towards efficient self-supervised representation learning in speech processing"}
{"paper_id": "98", "channel_name": "paper-98", "paper_title": "Noise Contrastive Estimation-based Matching Framework for Low-resource Security Attack Pattern Recognition"}
{"paper_id": "99", "channel_name": "paper-99", "paper_title": "Large Language Models for Scientific Information Extraction: An Empirical Study for Virology"}
{"paper_id": "DEMO-11", "channel_name": "paper-DEMO-11", "paper_title": "Check News in One Click: NLP-Empowered Pro-Kremlin Propaganda Detection"}
{"paper_id": "DEMO-14", "channel_name": "paper-DEMO-14", "paper_title": "NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus"}
{"paper_id": "DEMO-15", "channel_name": "paper-DEMO-15", "paper_title": "Multi-party Multimodal Conversations Between Patients, Their Companions, and a Social Robot in a Hospital Memory Clinic"}
{"paper_id": "DEMO-22", "channel_name": "paper-DEMO-22", "paper_title": "ScamSpot: Fighting Financial Fraud in Instagram Comments"}
{"paper_id": "DEMO-27", "channel_name": "paper-DEMO-27", "paper_title": "NarrativePlay: Interactive Narrative Understanding"}
{"paper_id": "DEMO-32", "channel_name": "paper-DEMO-32", "paper_title": "DP-NMT: Scalable Differentially Private Machine Translation"}
{"paper_id": "DEMO-33", "channel_name": "paper-DEMO-33", "paper_title": "AnnoPlot: Interactive Visualizations of Text Annotations"}
{"paper_id": "DEMO-35", "channel_name": "paper-DEMO-35", "paper_title": "GeospaCy: A tool for extraction and geographical referencing of spatial expressions in textual data"}
{"paper_id": "DEMO-36", "channel_name": "paper-DEMO-36", "paper_title": "MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki"}
{"paper_id": "DEMO-37", "channel_name": "paper-DEMO-37", "paper_title": "The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change"}
{"paper_id": "DEMO-38", "channel_name": "paper-DEMO-38", "paper_title": "RAGAs: Automated Evaluation of Retrieval Augmented Generation"}
{"paper_id": "DEMO-40", "channel_name": "paper-DEMO-40", "paper_title": "NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation"}
{"paper_id": "DEMO-42", "channel_name": "paper-DEMO-42", "paper_title": "MEGAnno+: A Human-LLM Collaborative Annotation System"}
{"paper_id": "DEMO-44", "channel_name": "paper-DEMO-44", "paper_title": "X-AMR Annotation Tool"}
{"paper_id": "DEMO-47", "channel_name": "paper-DEMO-47", "paper_title": "DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies"}
{"paper_id": "DEMO-48", "channel_name": "paper-DEMO-48", "paper_title": "TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization"}
{"paper_id": "DEMO-49", "channel_name": "paper-DEMO-49", "paper_title": "FRAPPE: FRAming, Persuasion, and Propaganda Explorer"}
{"paper_id": "DEMO-5", "channel_name": "paper-DEMO-5", "paper_title": "TextBI: An Interactive Dashboard for Visualizing Multidimensional NLP Annotations in Social Media Data"}
{"paper_id": "DEMO-57", "channel_name": "paper-DEMO-57", "paper_title": "LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking"}
{"paper_id": "DEMO-6", "channel_name": "paper-DEMO-6", "paper_title": "kNN-BOX: A Unified Framework for Nearest Neighbor Generation"}
{"paper_id": "DEMO-61", "channel_name": "paper-DEMO-61", "paper_title": "Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling"}
{"paper_id": "DEMO-7", "channel_name": "paper-DEMO-7", "paper_title": "A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion"}
{"paper_id": "DEMO-8", "channel_name": "paper-DEMO-8", "paper_title": "pyTLEX: A Python Library for TimeLine EXtraction"}
{"paper_id": "DEMO-9", "channel_name": "paper-DEMO-9", "paper_title": "DepressMind: A Depression Surveillance System for Social Media Analysis"}
{"paper_id": "Journal-paper-CL1-Oral", "channel_name": "paper-Journal-paper-CL1-Oral", "paper_title": "Generation and Polynomial Parsing of Graph Languages with Non-Structural Reentrancies"}
{"paper_id": "Journal-paper-TACL1-Oral", "channel_name": "paper-Journal-paper-TACL1-Oral", "paper_title": "Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap"}
{"paper_id": "SRW-1", "channel_name": "paper-SRW-1", "paper_title": "AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes"}
{"paper_id": "SRW-10", "channel_name": "paper-SRW-10", "paper_title": "Distribution Shifts Are Bottlenecks: Extensive Evaluation for Grounding Language Models to Knowledge Bases"}
{"paper_id": "SRW-15", "channel_name": "paper-SRW-15", "paper_title": "AttriSage: Product Attribute Value Extraction Using Graph Neural Networks"}
{"paper_id": "SRW-17", "channel_name": "paper-SRW-17", "paper_title": "HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs"}
{"paper_id": "SRW-2", "channel_name": "paper-SRW-2", "paper_title": "Generating Diverse Translation with Perturbed $k$nn-MT"}
{"paper_id": "SRW-24", "channel_name": "paper-SRW-24", "paper_title": "Arabic Synonym BERT-based Adversarial Examples for Text Classification"}
{"paper_id": "SRW-25", "channel_name": "paper-SRW-25", "paper_title": "A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models"}
{"paper_id": "SRW-27", "channel_name": "paper-SRW-27", "paper_title": "Exploring Large Language Models' Understanding of Shitsukan"}
{"paper_id": "SRW-28", "channel_name": "paper-SRW-28", "paper_title": "Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection"}
{"paper_id": "SRW-29", "channel_name": "paper-SRW-29", "paper_title": "Topic-guided Example Selection for Domain Adaptation in LLM-based Machine Translation"}
{"paper_id": "SRW-3", "channel_name": "paper-SRW-3", "paper_title": "The KIND Dataset: A Social Collaboration Approach for Nuanced Dialect Data Collection"}
{"paper_id": "SRW-31", "channel_name": "paper-SRW-31", "paper_title": "Reforging : A Method for Constructing a Linguistically Valid Japanese CCG Treebank"}
{"paper_id": "SRW-33", "channel_name": "paper-SRW-33", "paper_title": "Thesis Proposal: {D}etecting Agency Attribution"}
{"paper_id": "SRW-36", "channel_name": "paper-SRW-36", "paper_title": "Social Media Portrayals of Happy Moments Among Depressed Individuals"}
{"paper_id": "SRW-37", "channel_name": "paper-SRW-37", "paper_title": "A Thesis Proposal ClaimInspector Framework: A Hybrid Approach to Data Annotation using Fact-Checked Claims and LLMs"}
{"paper_id": "SRW-4", "channel_name": "paper-SRW-4", "paper_title": "Can Stanza be Used for Part-of-Speech Tagging Historical Polish?"}
{"paper_id": "SRW-40", "channel_name": "paper-SRW-40", "paper_title": "Large Language Models for Mathematical Reasoning: Progresses and Challenges"}
{"paper_id": "SRW-41", "channel_name": "paper-SRW-41", "paper_title": "Representation and Generation of Machine Learning Test Functions"}
{"paper_id": "SRW-46", "channel_name": "paper-SRW-46", "paper_title": "The Generative AI Paradox in Evaluation: \"What It Can Solve, It May Not Evaluate\""}
{"paper_id": "SRW-47", "channel_name": "paper-SRW-47", "paper_title": "Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering"}
{"paper_id": "SRW-48", "channel_name": "paper-SRW-48", "paper_title": "Japanese-English Sentence Translation Exercises Dataset for Automatic Grading"}
{"paper_id": "SRW-49", "channel_name": "paper-SRW-49", "paper_title": "The Impact of Integration Step on Integrated Gradients"}
{"paper_id": "SRW-51", "channel_name": "paper-SRW-51", "paper_title": "GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation"}
{"paper_id": "SRW-52", "channel_name": "paper-SRW-52", "paper_title": "Can docstring reformulation with an LLM improve code generation?"}
{"paper_id": "SRW-53", "channel_name": "paper-SRW-53", "paper_title": "Benchmarking Diffusion Models for Machine Translation"}
{"paper_id": "SRW-54", "channel_name": "paper-SRW-54", "paper_title": "Forged-GAN-BERT: Authorship Attribution for LLM-Generated Forged Novels"}
{"paper_id": "SRW-55", "channel_name": "paper-SRW-55", "paper_title": "Thesis Proposal: Detecting Empathy Using Multimodal Language Model"}
{"paper_id": "SRW-60", "channel_name": "paper-SRW-60", "paper_title": "Toward Sentiment Aware Semantic Change Analysis"}
{"paper_id": "SRW-61", "channel_name": "paper-SRW-61", "paper_title": "On Sociodemographics Variables and Sociodemographic Prompting"}
{"paper_id": "SRW-62", "channel_name": "paper-SRW-62", "paper_title": "Dynamic Task-Oriented Dialogue: A Comparative Study of Llama-2 and Bert in Slot Value Generation"}
{"paper_id": "SRW-8", "channel_name": "paper-SRW-8", "paper_title": "Toward Zero-Shot Instruction Following"}
{"paper_id": "SRW-9", "channel_name": "paper-SRW-9", "paper_title": "UnMASKed: Quantifying Gender Biases in Masked Language Models through Linguistically Informed Job Market Prompts"}
{"paper_id": "TACL2", "channel_name": "paper-TACL2", "paper_title": "Do Text Simplification Systems Convey Correct Information? A Human Evaluation via Reading Comprehension"}
{"paper_id": "TACL3", "channel_name": "paper-TACL3", "paper_title": "Are Character-level Translations Worth the Wait? Comparing Pretrained Character- and Subword-level Models for Machine Translation"}