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ACL 2025

4,141 papers

Mitigating Bias in RAG: Controlling the Embedder

Taeyoun Kim, Jacob Mitchell Springer, Aditi Raghunathan, Maarten Sap

Conservative Bias in Large Language Models: Measuring Relation Predictions

Toyin Aguda, Erik Wilson, Allan Anzagira, Simerjot Kaur, Charese Smiley

TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues

Yubin Ge, Salvatore Romeo, Jason Cai, Raphael Shu, Yassine Benajiba

Systematic Evaluation of Auto-Encoding and Large Language Model Representations for Capturing Author States and Traits

Khushboo Singh, Vasudha Varadarajan, Adithya V. Ganesan, August Håkan Nilsson, Nikita Soni

MedCite: Can Language Models Generate Verifiable Text for Medicine?

Xiao Wang, Mengjue Tan, Qiao Jin, Guangzhi Xiong, YU HU

A Multi-Labeled Dataset for Indonesian Discourse: Examining Toxicity, Polarization, and Demographics Information

Lucky Susanto, Musa Izzanardi Wijanarko, Prasetia Anugrah Pratama, Zilu Tang, Fariz Akyas

Vision-Language Models Struggle to Align Entities across Modalities

Iñigo Alonso, Gorka Azkune, Ander Salaberria, Jeremy Barnes, Oier Lopez de Lacalle

MVTamperBench: Evaluating Robustness of Vision-Language Models

Amit Agarwal, Srikant Panda, Angeline Charles, Hitesh Laxmichand Patel, Bhargava Kumar

MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation

Haris Riaz, Sourav Sanjukta Bhabesh, Vinayak Arannil, Miguel Ballesteros, Graham Horwood

Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training

Jaydeep Borkar, Matthew Jagielski, Katherine Lee, Niloofar Mireshghallah, David A. Smith

MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs

Kaustubh Deshpande, Ved Sirdeshmukh, Johannes Baptist Mols, Lifeng Jin, Ed-Yeremai Hernandez-Cardona

Trick or Neat: Adversarial Ambiguity and Language Model Evaluation

Antonia Karamolegkou, Oliver Eberle, Phillip Rust, Carina Kauf, Anders Søgaard

Right Answer, Wrong Score: Uncovering the Inconsistencies of LLM Evaluation in Multiple-Choice Question Answering

Francesco Maria Molfese, Luca Moroni, Luca Gioffré, Alessandro Scirè, Simone Conia

A General Framework to Enhance Fine-tuning-based LLM Unlearning

Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui LIU, Jingying Zeng

Mind the (Belief) Gap: Group Identity in the World of LLMs

Angana Borah, Marwa Houalla, Rada Mihalcea

Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems

Emma Harvey, Emily Sheng, Su Lin Blodgett, Alexandra Chouldechova, Jean Garcia-Gathright

VISIAR: Empower MLLM for Visual Story Ideation

Zhaoyang Xia, Somdeb Sarkhel, Mehrab Tanjim, Stefano Petrangeli, Ishita Dasgupta

FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point

Ke Yi, Jianwei Zhang, Zhiying Xu, Xinlong Yang, Yang Zhou

Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion

Denitsa Saynova, Lovisa Hagström, Moa Johansson, Richard Johansson, Marco Kuhlmann

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases

Yongjia Lei, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka

PreSumm: Predicting Summarization Performance Without Summarizing

Steven Koniaev, Ori Ernst, Jackie CK Cheung

Going Beyond Your Expectations in Latency Metrics for Simultaneous Speech Translation

Jorge Iranzo-Sánchez, Javier Iranzo-Sánchez, Adrià Giménez, Jorge Civera

Speculative Sampling via Exponential Races

Szymon Kobus, Deniz Gündüz

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models

Shuliang Liu, Hongyi Liu, Aiwei Liu, Duan Bingchen, Zheng Qi

ShieldHead: Decoding-time Safeguard for Large Language Models

Zitao Xuan, Xiaofeng Mao, Da Chen, Xin Zhang, Yuhan Dong

Process-based Self-Rewarding Language Models

Shimao Zhang, Xiao Liu, Xin Zhang, Junxiao Liu, Zheheng Luo

FactLens: Benchmarking Fine-Grained Fact Verification

Kushan Mitra, Dan Zhang, Sajjadur Rahman, Estevam Hruschka

iAgent: LLM Agent as a Shield between User and Recommender Systems

Wujiang Xu, Yunxiao Shi, Zujie Liang, Xuying Ning, Kai Mei

PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants

Zheng Zhao, Clara Vania, Subhradeep Kayal, Naila Khan, Shay B Cohen

Exploring Supervised Approaches to the Detection of Anthropomorphic Language in the Reporting of NLP Venues

Matthew Shardlow, Ashley Williams, Charlie Roadhouse, Filippos Ventirozos, Piotr Przybyła

Benchmarking the Benchmarks: Reproducing Climate-Related NLP Tasks

Tom Calamai, Oana Balalau, Fabian M. Suchanek

On the Generalization vs Fidelity Paradox in Knowledge Distillation

Suhas Kamasetty Ramesh, Ayan Sengupta, Tanmoy Chakraborty

Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection

Davide Bassi, Dimitar Iliyanov Dimitrov, Bernardo D’Auria, Firoj Alam, Maram Hasanain

Generative Frame Sampler for Long Video Understanding

Linli Yao, Haoning Wu, Kun Ouyang, Yuanxing Zhang, Caiming Xiong

Sign2Vis: Automated Data Visualization from Sign Language

Yao Wan, Yang Wu, Zhen Li, Guobiao Zhang, Hongyu Zhang

LLM Agents for Coordinating Multi-User Information Gathering

Harsh Jhamtani, Jacob Andreas, Benjamin Van Durme

BenNumEval: A Benchmark to Assess LLMs’ Numerical Reasoning Capabilities in Bengali

Kawsar Ahmed, Md Osama, Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque

Open-World Authorship Attribution

Xinhao Tan, Songhua Liu, Xia Cong, Kunjun Li, Xinchao Wang

Hatevolution: What Static Benchmarks Don’t Tell Us

Chiara Di Bonaventura, Barbara McGillivray, Yulan He, Albert Meroño-Peñuela

JEBS: A Fine-grained Biomedical Lexical Simplification Task

William Xia, Ishita Unde, Brian David Ondov, Dina Demner-Fushman

FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only

He Zhu, Yifan Ding, Yicheng Tao, Zhiwen Ruan, Yixia Li

Are Your LLMs Capable of Stable Reasoning?

Junnan Liu, Hongwei Liu, Linchen Xiao, Ziyi Wang, Kuikun Liu

Multimodal Fusion and Coherence Modeling for Video Topic Segmentation

Hai Yu, Chong Deng, Qinglin Zhang, Jiaqing Liu, Qian Chen

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?

Van Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang

Each graph is a new language: Graph Learning with LLMs

Huachi Zhou, Jiahe Du, Chuang Zhou, Chang Yang, Yilin Xiao

MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency

Junzhe Zhang, Huixuan Zhang, Xunjian Yin, Baizhou Huang, Xu Zhang

R.R.: Unveiling LLM Training Privacy through Recollection and Ranking

Wenlong Meng, Guo Zhenyuan, Lenan Wu, Chen Gong, Wenyan Liu

Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation

Jihao Shi, Xiao Ding, Kai Xiong, Hengwei Zhao, Bing Qin

ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models

Martina Miliani, Serena Auriemma, Alessandro Bondielli, Emmanuele Chersoni, Lucia Passaro

Libra: Leveraging Temporal Images for Biomedical Radiology Analysis

Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho

EMRs2CSP : Mining Clinical Status Pathway from Electronic Medical Records

Yifei Chen, Ruihui Hou, Jingping Liu, Tong Ruan

In the LLM era, Word Sense Induction remains unsolved

Anna Mosolova, Marie Candito, Carlos Ramisch

FADE: Why Bad Descriptions Happen to Good Features

Bruno Puri, Aakriti Jain, Elena Golimblevskaia, Patrick Kahardipraja, Thomas Wiegand

VP-MEL: Visual Prompts Guided Multimodal Entity Linking

Hongze Mi, Jinyuan Li, Xuying Zhang, Haoran Cheng, Jiahao Wang

PAM: Paraphrase AMR-Centric Evaluation Metric

Afonso Sousa, Henrique Lopes Cardoso

Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution

Kun Li, Tianhua Zhang, Yunxiang Li, Hongyin Luo, Abdalla Mohamed Salama Sayed Moustafa