ACL 2025

4,141 papers

TWIST: Text-encoder Weight-editing for Inserting Secret Trojans in Text-to-Image Models

Xindi Li, Zhe Liu, Tong Zhang, Jiahao Chen, Qingming Li

Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models

Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang

PKAG-DDI: Pairwise Knowledge-Augmented Language Model for Drug-Drug Interaction Event Text Generation

Ziyan Wang, Zhankun Xiong, Feng Huang, Wen Zhang

ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search

Yize Zhang, Tianshu Wang, Sirui Chen, Kun Wang, Xingyu Zeng

A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning

Zhiyu Zhang, Wei Chen, Youfang Lin, Huaiyu Wan

DTCRS: Dynamic Tree Construction for Recursive Summarization

Guanran Luo, Zhongquan Jian, Wentao Qiu, Meihong Wang, Qingqiang Wu

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition

Kehua Feng, Keyan Ding, Tan Hongzhi, Kede Ma, Zhihua Wang

GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning

Qingchen Yu, Zifan Zheng, Ding Chen, Simin Niu, Bo Tang

Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models

Xinlin Zhuang, Jiahui Peng, Ren Ma, Yinfan Wang, Tianyi Bai

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration

Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li

MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts

Wei Tao, Haocheng Lu, Xiaoyang Qu, Bin Zhang, Kai Lu

Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction

Thanh Duc Pham, Nam Le Hai, Linh Ngo Van, Nguyen Thi Ngoc Diep, Sang Dinh

SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation

Jialong Wu, Zhenglin Wang, Linhai Zhang, Yilong Lai, Yulan He

Top-n𝜎: Eliminating Noise in Logit Space for Robust Token Sampling of LLM

Chenxia Tang, Jianchun Liu, Hongli Xu, Liusheng Huang

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis

Yi Jiang, Sendong Zhao, Jianbo Li, Haochun Wang, Bing Qin

PPT: A Minor Language News Recommendation Model via Cross-Lingual Preference Pattern Transfer

Yiyang Zhang, Nan Chen

APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs

Yuxiang Huang, Mingye Li, Xu Han, Chaojun Xiao, Weilin Zhao

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation

Zican Dong, Junyi Li, Jinhao Jiang, Mingyu Xu, Wayne Xin Zhao

MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training

Hui Huang, Jiaheng Liu, Yancheng He, Shilong Li, Bing Xu

DAPE V2: Process Attention Score as Feature Map for Length Extrapolation

Chuanyang Zheng, Yihang Gao, Han Shi, Jing Xiong, Jiankai Sun

Cool-Fusion: Fuse Large Language Models without Training

Cong Liu, Xiaojun Quan, Yan Pan, Weigang Wu, Xu Chen

ExpeTrans: LLMs Are Experiential Transfer Learners

Jinglong Gao, Xiao Ding, Lingxiao Zou, Bibo Cai, Bing Qin

Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View

Yanran Wu, Inez Hua, Yi Ding

PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance

Haoran Li, Wenbin Hu, Huihao Jing, Yulin Chen, Qi Hu

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding

Chiwei Zhu, Benfeng Xu, Xiaorui Wang, Zhendong Mao

The Knowledge Microscope: Features as Better Analytical Lenses than Neurons

Yuheng Chen, Pengfei Cao, Kang Liu, Jun Zhao

MCS-Bench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in Chinese Classical Studies

Yang Liu, Jiahuan Cao, Hiuyi Cheng, Yongxin Shi, Kai Ding

Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking

Zhecheng Sheng, Xiruo Ding, Brian Hur, Changye Li, Trevor Cohen

Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria

Yongqi Leng, Renren Jin, Yue Chen, Zhuowen Han, Ling Shi

S-RAG: A Novel Audit Framework for Detecting Unauthorized Use of Personal Data in RAG Systems

Zhirui Zeng, Jiamou Liu, Meng-Fen Chiang, Jialing He, Zijian Zhang

Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining

Jingwen Sun, Zhiyi Tian, Yu He, Jingwei Sun, Guangzhong Sun

AutoGUI: Scaling GUI Grounding with Automatic Functionality Annotations from LLMs

Hongxin Li, Jingfan Chen, Jingran Su, Yuntao Chen, Li Qing

From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models

Yidan Wang, Yubing Ren, Yanan Cao, Binxing Fang

WebWalker: Benchmarking LLMs in Web Traversal

Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi

On Support Samples of Next Word Prediction

Yuqian Li, Yupei Du, Yufang Liu, Feifei Feng, Mou Xiao Feng

Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach

Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu

Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models

Yuheng Chen, Pengfei Cao, Yubo Chen, Yining Wang, Shengping Liu

Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis

Jisoo Mok, Ik-hwan Kim, Sangkwon Park, Sungroh Yoon

DenseLoRA: Dense Low-Rank Adaptation of Large Language Models

Lin Mu, Xiaoyu Wang, Li Ni, Yang Li, Zhize Wu

Uni-Retrieval: A Multi-Style Retrieval Framework for STEM’s Education

Yanhao Jia, Xinyi Wu, Li Hao, QinglinZhang QinglinZhang, Yuxiao Hu

HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models

Xiao Wang, Jingyun Hua, Weihong Lin, Yuanxing Zhang, Fuzheng Zhang

NexusSum: Hierarchical LLM Agents for Long-Form Narrative Summarization

Hyuntak Kim, Byung-Hak Kim

Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder

Siting Li, Pang Wei Koh, Simon Shaolei Du

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models

Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, peng gao

Multi-level Relevance Document Identifier Learning for Generative Retrieval

Fuwei Zhang, Xiaoyu Liu, XINYU JIA, Yingfei Zhang, SHUAI ZHANG

Enhancing Neural Machine Translation Through Target Language Data: A kNN-LM Approach for Domain Adaptation

Abudurexiti Reheman, Hongyu Liu, Junhao Ruan, Abudukeyumu Abudula, Yingfeng Luo

InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes Under Herd Behavior

Huisheng Wang, Zhuoshi Pan, Hangjing Zhang, Mingxiao Liu, Hanqing Gao

ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation

Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Aojun Zhou, Junting Pan

SpeechFake: A Large-Scale Multilingual Speech Deepfake Dataset Incorporating Cutting-Edge Generation Methods

Wen Huang, Yanmei Gu, Zhiming Wang, Huijia Zhu, Yanmin Qian

Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean

SungHo Kim, Nayeon Kim, Taehee Jeon, SangKeun Lee

The Lawyer That Never Thinks: Consistency and Fairness as Keys to Reliable AI

Dana R Alsagheer, Abdulrahman Kamal, Mohammad Kamal, Cosmo Yang Wu, Weidong Shi

Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling

Junyi Li, Hwee Tou Ng

CADReview: Automatically Reviewing CAD Programs with Error Detection and Correction

Jiali Chen, Xusen Hei, Hongfei Liu, Yuancheng Wei, Zikun Deng

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents

Tao Wu, Jingyuan Chen, Wang Lin, Mengze Li, Yumeng Zhu

Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models

Zhuojun Ding, Wei Wei, Chenghao Fan

Faster Speculative Decoding via Effective Draft Decoder with Pruned Candidate Tree

Huanran Zheng, Xiaoling Wang

Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

Zhisong Zhang, Yan Wang, Xinting Huang, Tianqing Fang, Hongming Zhang

Aligning VLM Assistants with Personalized Situated Cognition

Yongqi Li, Shen Zhou, Xiaohu Li, xin miao, Jintao Wen

If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation?

Ryo Yoshida, Shinnosuke Isono, Kohei Kajikawa, Taiga Someya, Yushi Sugimoto

A Drop-In Solution for On-the-Fly Adaptation of Speculative Decoding in Large Language Models

Jiesong Liu, Brian Park, Xipeng Shen

Investigating and Extending Homans’ Social Exchange Theory with Large Language Model based Agents

Lei Wang, Zheqing Zhang, Xu Chen

On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs

Herun Wan, Minnan Luo, Zhixiong Su, Guang Dai, Xiang Zhao

When to Speak, When to Abstain: Contrastive Decoding with Abstention

Hyuhng Joon Kim, Youna Kim, Sang-goo Lee, Taeuk Kim

Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases

Michael Y. Hu, Jackson Petty, Chuan Shi, William Merrill, Tal Linzen

Semantic-Eval : A Semantic Comprehension Evaluation Framework for Large Language Models Generation without Training

Shusheng Li, Jiale Li, Yifei Qu, Xinwei Shi, Yanliang Guo

Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks

Rana Shahroz, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen

PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization

Yidan Wang, Yanan Cao, Yubing Ren, Fang Fang, Zheng Lin

Incorporating Domain Knowledge into Materials Tokenization

Yerim Oh, Jun-Hyung Park, Junho Kim, SungHo Kim, SangKeun Lee

TeRDy: Temporal Relation Dynamics through Frequency Decomposition for Temporal Knowledge Graph Completion

Ziyang Liu, Chaokun Wang

Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts

Jingxuan Li, Yuning Yang, Shengqi Yang, Linfan Zhang, Ying Nian Wu

On the Reliability of Large Language Models for Causal Discovery

Tao Feng, Lizhen Qu, Niket Tandon, Zhuang Li, Xiaoxi Kang

Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings

Austin Xu, Srijan Bansal, Yifei Ming, Semih Yavuz, Shafiq Joty

Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases

Mingyu Lee, Yeachan Kim, Wing-Lam Mok, SangKeun Lee

KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph

Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yang Song, Chen Zhu

AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection

Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Fenglong Ma

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration

Tianyi Bai, Ling Yang, Zhen Hao Wong, Fupeng Sun, Xinlin Zhuang

Boosting Long-Context Information Seeking via Query-Guided Activation Refilling

Hongjin Qian, Zheng Liu, Peitian Zhang, Zhicheng Dou, Defu Lian

INJONGO: A Multicultural Intent Detection and Slot-filling Dataset for 16 African Languages

Hao Yu, Jesujoba Oluwadara Alabi, Andiswa Bukula, Jian Yun Zhuang, En-Shiun Annie Lee

IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data

Tao Feng, Lizhen Qu, Niket Tandon, Gholamreza Haffari

Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition

Masato Mita, Ryo Yoshida, Yohei Oseki

LLMs + Persona-Plug = Personalized LLMs

Jiongnan Liu, Yutao Zhu, Shuting Wang, Xiaochi Wei, Erxue Min

Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning

Aofei Chang, Le Huang, Alex James Boyd, Parminder Bhatia, Taha Kass-Hout

Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models

Yeachan Kim, SangKeun Lee

Instance-Selection-Inspired Undersampling Strategies for Bias Reduction in Small and Large Language Models for Binary Text Classification

Guilherme Fonseca, Washington Cunha, Gabriel Prenassi, Marcos André Gonçalves, Leonardo Chaves Dutra Da Rocha

Bitnet.cpp: Efficient Edge Inference for Ternary LLMs

Jinheng Wang, Hansong Zhou, Ting Song, Shijie Cao, Yan Xia

Culture Matters in Toxic Language Detection in Persian

Zahra Bokaei, Walid Magdy, Bonnie Webber

Identifying Cellular Niches in Spatial Transcriptomics: An Investigation into the Capabilities of Large Language Models

Huanhuan Wei, Xiao Luo, Hongyi Yu, Jinping Liang, Luning Yang

DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising

Zhenhao Li, Huichi Zhou, Marek Rei, Lucia Specia

Byte Latent Transformer: Patches Scale Better Than Tokens

Artidoro Pagnoni, Ramakanth Pasunuru, Pedro Rodriguez, John Nguyen, Benjamin Muller

DavIR: Data Selection via Implicit Reward for Large Language Models

Haotian Zhou, Tingkai Liu, Qianli Ma, Yufeng Zhang, Jianbo Yuan

Toward Automatic Discovery of a Canine Phonetic Alphabet

Theron S. Wang, Xingyuan Li, Hridayesh Lekhak, Tuan Minh Dang, Mengyue Wu

Mitigating Shortcut Learning with InterpoLated Learning

Michalis Korakakis, Andreas Vlachos, Adrian Weller

The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects

Yixin Wan, Kai-Wei Chang

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence

Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong

Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence

Mohsen Fayyaz, Ali Modarressi, Hinrich Schuetze, Nanyun Peng

AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions

Adriana Eufrosina Bora, Akshatha Arodi, Duoyi Zhang, Jordan Bannister, Mirko Bronzi

White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs

Yixin Wan, Kai-Wei Chang

Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes

Sharan Maiya, Yinhong Liu, Ramit Debnath, Anna Korhonen

Comparing LLM-generated and human-authored news text using formal syntactic theory

Olga Zamaraeva, Dan Flickinger, Francis Bond, Carlos Gómez-Rodríguez

Circuit Stability Characterizes Language Model Generalization

Alan Sun