Findings of the Association for Computational Linguistics 2025: all accepted papers
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- Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack ↗Sagiv Antebi, Edan Habler, Asaf Shabtai et al.
- Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection ↗Yixuan Wang, Shiqi Zhou, Chuanzhe Guo et al.
- TailorRPA: A Retrieval-Based Framework for Eliciting Personalized and Coherent Role-Playing Agents in General Domain ↗Zhenpeng Gao, Xiaofen Xing, Xiangmin Xu
- Talking Point based Ideological Discourse Analysis in News Events ↗Nishanth Sridhar Nakshatri, Nikhil Mehta, Siyi Liu et al.
- Task Calibration: Calibrating Large Language Models on Inference Tasks ↗Yingjie Li, Yun Luo, Xiaotian Xie et al.
- Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization ↗Yukun Zhao, Lingyong Yan, Zhenyang Li et al.
- Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text ↗Andrei Jarca, Florinel Alin Croitoru, Radu Tudor Ionescu
- Task-wrapped Continual Learning in Task-Oriented Dialogue Systems ↗Min Zeng, Haiqin Yang, Xi Chen et al.
- TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context ↗Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra et al.
- TeCoFeS: Text Column Featurization using Semantic Analysis ↗Ananya Singha, Mukul Singh, Ashish Tiwari et al.
- Teaching Language Models To Gather Information Proactively ↗Tenghao Huang, Sihao Chen, Muhao Chen et al.
- Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing ↗Wenhao Liu, Siyu An, Junru Lu et al.
- Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection ↗Myrthe Reuver, Indira Sen, Matteo Melis et al.
- Temporal Alignment of Time Sensitive Facts with Activation Engineering ↗Sanjay Govindan, Maurice Pagnucco, Yang Song
- Test-Time Steering for Lossless Text Compression via Weighted Product of Experts ↗Qihang Zhang, Muchen Li, Ziao Wang et al.
- TestAgent: An Adaptive and Intelligent Expert for Human Assessment ↗Junhao Yu, Yan Zhuang, Yuxuan Sun et al.
- Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors ↗Mayank Nagda, Phil Ostheimer, Sophie Fellenz
- Text-centric Alignment for Bridging Test-time Unseen Modality ↗Yun-Da Tsai, Ting-Yu Yen, Pei-Fu Guo et al.
- Thank You, Stingray: Multilingual Large Language Models Can Not (Yet) Disambiguate Cross-Lingual Word Senses ↗Samuel Cahyawijaya, Ruochen Zhang, Jan Christian Blaise Cruz et al.
- The Alchemy of Thought: Understanding In-Context Learning Through Supervised Classification ↗Harshita Narnoli, Mihai Surdeanu
- The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation ↗David Stap, Christof Monz
- The Effectiveness of Uncased Tokeniziaion for Clinical Notes ↗Cory Paik, Katharina von der Wense
- The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing ↗Xinwei Guo, Jiashi Gao, Junlei Zhou et al.
- The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads ↗Aysan Aghazadeh, Adriana Kovashka
- The Feasibility of Topic-Based Watermarking on Academic Peer Reviews ↗Alexander Nemecek, Yuzhou Jiang, Erman Ayday
- The Green KNIGHT: Green Machine Translation with Knowledge-Distilled, Narrow, Inexpensive, Greedy, Hybrid Transformers ↗Andreas Guta, Frithjof Petrick, Peter Polák
- The Lies Characters Tell: Utilizing Large Language Models to Normalize Adversarial Unicode Perturbations ↗Portia Cooper, Eduardo Blanco, Mihai Surdeanu
- The Linguistic Connectivities Within Large Language Models ↗Dan Wang, Boxi Cao, Ning Bian et al.
- The Million Authors Corpus: A Cross-Lingual and Cross-Domain Wikipedia Dataset for Authorship Verification ↗Abraham Israeli, Shuai Liu, Jonathan May et al.
- The More, The Better? A Critical Study of Multimodal Context in Radiology Report Summarization ↗Mong Yuan Sim, Wei Emma Zhang, Xiang Dai et al.
- The Power of Bullet Lists: A Simple Yet Effective Prompting Approach to Enhancing Spatial Reasoning in Large Language Models ↗Ikhyun Cho, Changyeon Park, Julia Hockenmaier
- The Progress Illusion: Revisiting meta-evaluation standards of LLM evaluators ↗Tianruo Rose Xu, Vedant Gaur, Liu Leqi et al.
- The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction ↗Yihuai Hong, Meng Cao, Dian Zhou et al.
- The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning ↗Bingxiang He, Ning Ding, Cheng Qian et al.
- The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models ↗Xinyi Liu, Weiguang Wang, Hangfeng He
- The Search for Conflicts of Interest: Open Information Extraction in Scientific Publications ↗Garima Gaur, Oana Balalau, Ioana Manolescu et al.
- The Threat of PROMPTS in Large Language Models: A System and User Prompt Perspective ↗Zixuan Xia, Haifeng Sun, Jingyu Wang et al.
- The “r” in “woman” stands for rights. Auditing LLMs in Uncovering Social Dynamics in Implicit Misogyny ↗Arianna Muti, Chris Emmery, Debora Nozza et al.
- There's No Such Thing as Simple Reasoning for LLMs ↗Nurul Fajrin Ariyani, Zied Bouraoui, Richard Booth et al.
- Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances MCQ Generation and Distractor Quality ↗Yimiao Qiu, Yang Deng, Quanming Yao et al.
- Think Clearly: Improving Reasoning via Redundant Token Pruning ↗Daewon Choi, Jimin Lee, Jihoon Tack et al.
- ThinkAnswer Loss: Balancing Semantic Similarity and Exact Matching for LLM Reasoning Enhancement ↗Shan Yang, Kun Wu, Zeju Li et al.
- Thinking Before You Speak: A Proactive Test-time Scaling Approach ↗Cong Liu, Wenchang Chai, Hejun Wu et al.
- Third-Person Appraisal Agent: Simulating Human Emotional Reasoning in Text with Large Language Models ↗Simin Hong, Jun Sun, Hongyang Chen
- This is not a Disimprovement: Improving Negation Reasoning in Large Language Models via Prompt Engineering ↗Joshua Jose Dias Barreto, Abhik Jana
- TicTac: Time-aware Supervised Fine-tuning for Automatic Text Dating ↗Han Ren, Minna Peng
- Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models ↗Ahmad Dawar Hakimi, Ali Modarressi, Philipp Wicke et al.
- Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games ↗Niv Eckhaus, Uri Berger, Gabriel Stanovsky
- To Generate or Discriminate? Methodological Considerations for Measuring Cultural Alignment in LLMs ↗Saurabh Kumar Pandey, Sougata Saha, Monojit Choudhury
- ToVo: Toxicity Taxonomy via Voting ↗Tinh Son Luong, Thanh-Thien Le, Thang Viet Doan et al.
- Token Knowledge: A New Perspective For Knowledge in Large Language Models ↗Jieyong Wang, Chunyao Song, Tingjian Ge
- Token-Level Metrics for Detecting Incorrect Gold Annotations in Named Entity Recognition ↗Elena Merdjanovska, Alan Akbik
- Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation ↗Zihao Li, Xuekong Xu, Ziyao Chen et al.
- Tomato, Tomahto, Tomate: Do Multilingual Language Models Understand Based on Subword-Level Semantic Concepts? ↗Crystina Zhang, Jing Lu, Vinh Q. Tran et al.
- Tooka-SBERT: Lightweight Sentence Embedding models for Persian ↗Ghazal Zamaninejad, MohammadAli SadraeiJavaheri, Farnaz Aghababaloo et al.
- Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch ↗Yirong Zeng, Xiao Ding, Yutai Hou et al.
- Tool learning via Inference-time Scaling and Cycle Verifier ↗Xiaobo Liang, Wenjin Xie, Juntao Li et al.
- ToolExpNet: Optimizing Multi-Tool Selection in LLMs with Similarity and Dependency-Aware Experience Networks ↗Zijing Zhang, Zhanpeng Chen, He Zhu et al.
- ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions ↗Beong-woo Kwak, Minju Kim, Dongha Lim et al.
- Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization ↗Yunyue Su, Zhang Jinshuai, Bowen Fang et al.
- TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation ↗Armel Randy Zebaze, Benoît Sagot, Rachel Bawden
- Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization ↗Chuyuan Li, Austin Xu, Shafiq Joty et al.
- Toward Inclusive Language Models: Sparsity-Driven Calibration for Systematic and Interpretable Mitigation of Social Biases in LLMs ↗Prommy Sultana Hossain, Chahat Raj, Ziwei Zhu et al.
- Toward Optimal LLM Alignments Using Two-Player Games ↗Rui Zheng, Hongyi Guo, Zhihan Liu et al.
- Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience ↗Jiawei Gu, Ziting Xian, Yuanzhen Xie et al.
- Toward the Automatic Detection of Word Meaning Negotiation Indicators in Conversation ↗Aina Garí Soler, Matthieu Labeau, Chloé Clavel
- Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning ↗Bofei Gao, Yejie Wang, Yibo Miao et al.
- Towards A “Novel” Benchmark: Evaluating Literary Fiction with Large Language Models ↗Wenqing Wang, Mingqi Gao, Xinyu Hu et al.
- Towards Attribution of Generators and Emotional Manipulation in Cross-Lingual Synthetic Speech using Geometric Learning ↗Girish, Mohd Mujtaba Akhtar, Farhan Sheth et al.
- Towards Better Understanding of Program-of-Thought Reasoning in Cross-Lingual and Multilingual Environments ↗Patomporn Payoungkhamdee, Pume Tuchinda, Jinheon Baek et al.
- Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales ↗JianZhi Yan, Le Liu, Youcheng Pan et al.
- Towards Low-Resource Alignment to Diverse Perspectives with Sparse Feedback ↗Chu Fei Luo, Samuel Dahan, Xiaodan Zhu
- Towards More Efficient Post-training via Fourier Domain Adapter Framework ↗Yijia Fan, Jusheng Zhang, Keze Wang
- Towards Multimodal Question Answering in Educational Domain ↗Himanshu Wadhwa, T Karthikeyan, Mausam et al.
- Towards Reliable Large Audio Language Model ↗Ziyang Ma, Xiquan Li, Yakun Song et al.
- Towards Reverse Engineering of Language Models: A Survey ↗Xinpeng Ti, Wentao Ye, Zhifang Zhang et al.
- Towards Robust Few-Shot Relation Classification: Incorporating Relation Description with Agreement ↗Mengting Hu, Jianfeng Wu, Ming Jiang et al.
- Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation ↗Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna et al.
- Tracing Multilingual Factual Knowledge Acquisition in Pretraining ↗Yihong Liu, Mingyang Wang, Amir Hossein Kargaran et al.
- Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models ↗Xiaofan Zheng, Huixuan Zhang, Xiaojun Wan
- Tracr-Injection: Distilling Algorithms into Pre-trained Language Models ↗Tomás Vergara Browne, Alvaro Soto
- Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction ↗Xinmeng Hou, Lingyue Fu, Chenhao Meng et al.
- Train a Unified Multimodal Data Quality Classifier with Synthetic Data ↗Weizhi Wang, Rongmei Lin, Shiyang Li et al.
- Training Bilingual LMs with Data Constraints in the Targeted Language ↗Skyler Seto, Maartje Ter Hoeve, Richard He Bai et al.
- Training Medical QA Models Based on Mixed Rewards from Multiple-Choice and Open-Ended Questions ↗Yue Qiu, Yujan Ting, Pei Dong et al.
- Training Text-to-Molecule Models with Context-Aware Tokenization ↗Seojin Kim, Hyeontae Song, Jaehyun Nam et al.
- Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding ↗Taowen Liu, Marta Andronic, Deniz Gunduz et al.
- TransAlign: Machine Translation Encoders are Strong Word Aligners, Too ↗Benedikt Ebing, Christian Goldschmied, Goran Glavaš
- TransBERT: A Framework for Synthetic Translation in Domain-Specific Language Modeling ↗Julien Knafou, Luc Mottin, Anaïs Mottaz et al.
- TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments ↗Yuheng Lu, Qian Yu, Hongru Wang et al.
- Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval ↗Linzhu Yu, Huan Li, Ke Chen et al.
- Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation ↗Jiajun Shen, Tong Zhou, Yubo Chen et al.
- TrapDoc: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents ↗Hyundong Jin, Sicheol Sung, Shinwoo Park et al.
- Tree-Structured Non-Autoregressive Decoding for Sequence-to-Sequence Text Generation ↗Pengyu Ji, Yufei Liu, Xiang Hu et al.
- Tree-of-Prompts: Abstracting Control-Flow for Prompt Optimization ↗Jihyuk Kim, Shubham Garg, Lahari Poddar et al.
- TriEmbed: Bridge the Gap between Text and Token Indices with Embedding Reparameterization ↗Baizhou Huang, Xiaojun Wan
- Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests ↗Filippo Momentè, Alessandro Suglia, Mario Giulianelli et al.
- Trick or Neat: Adversarial Ambiguity and Language Model Evaluation ↗Antonia Karamolegkou, Oliver Eberle, Phillip Rust et al.
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