AAAI 2026

4,920 papers

Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration

Ante Wang, Yujie Lin, Jingyao Liu, Suhang Wu, Hao Liu

Deep Research Arena: The First Exam of LLMs’ Research Abilities via Seminar-Grounded Tasks

Haiyuan Wan, chen yang, Junchi Yu, Meiqi Tu, Jiaxuan Lu

MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models

Hoang Tran Vuong, Tue Le, Quyen Tran, Linh Ngo Van, Trung Le

PRAGWORLD: A Benchmark Evaluating LLMs’ Local World Model Under Minimal Linguistic Alterations and Conversational Dynamics

Sachin Vashistha, Aryan Bibhuti, Atharva Naik, Martin Tutek, Somak Aditya

Mitigating Content Effects on Reasoning in Language Models Through Fine-Grained Activation Steering

Marco Valentino, Geonhee Kim, Dhairya Dalal, Zhixue Zhao, Andre Freitas

Incoherence as Oracle-less Measure of Error in LLM-Based Code Generation

Thomas Jean-Michel Valentin, Ardi Madadi, Gaetano Sapia, Marcel Böhme

CharBench: Evaluating the Role of Tokenization in Character-Level Tasks

Omri Uzan, Yuval Pinter

Listen like a Teacher: Mitigating Whisper Hallucinations Using Adaptive Layer Attention and Knowledge Distillation

Kumud Tripathi, Aditya Srinivas Menon, Aman Gaurav, Raj Prakash Gohil, Pankaj Wasnik

Reasoning Transfer for an Extremely Low-Resource and Endangered Language: Bridging Languages Through Sample-Efficient Language Understanding

Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen

PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning

Hieu Tran, Zonghai Yao, Nguyen Luong Tran, Zhichao Yang, Feiyun Ouyang

KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference

Yuxuan Tian, Zihan Wang, Yebo Peng, Aomufei Yuan, Zhiming Wang

PocketLLM: Ultimate Compression of Large Language Models via Meta Networks

Ye Tian, Chengcheng Wang, Jing Han, Yehui Tang, Kai Han

Rectify Evaluation Preference: Improving LLMs’ Critique on Math Reasoning via Perplexity-aware Reinforcement Learning

Changyuan Tian, Zhicong Lu, Shuang Qian, Nayu Liu, Peiguang Li

Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge

Pengwei Tang, Xiaolin Hu, Yong Liu, Lizhong Ding, Dongjie Zhang

SafetyReminder: Reviving Delayed Safety Awareness of Vision-Language Models to Defend Against Jailbreak Attacks

PeiYuan Tang, Haojie Xin, Xiaodong Zhang, Jun Sun, Qin Xia

GUI-G²: Gaussian Reward Modeling for GUI Grounding

Fei Tang, Zhangxuan Gu, Zhengxi Lu, Xuyang Liu, Shuheng Shen

ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations

An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li

Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models

Zhouxing Tan, Hanlin Xue, Yulong Wan, Ruochong Xiong, Xu Chu

RAG-R1:Incentivizing the Search and Reasoning Capabilities of LLMs Through Multi-Query Parallelism

Zhiwen Tan, Jiaming Huang, Qintong Wu, Hongxuan Zhang, Chenyi Zhuang

PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation

Zhehao Tan, Yihan Jiao, Dan Yang, Junwei Liu, Lei Liu

Improving the Accuracy of Dense Retrieval on the Quantized Indexes via Gradient Optimization of the Target Embeddings

Cong Tan, Yongqi Shao, Hong Huo, Tao Fang

Improving Value-based Process Verifier via Low-Cost Variance Reduction

Zetian Sun, Dongfang Li, Baotian Hu, Min Zhang

CGMIS: Concept-Graph Based Multi-Hop Instructions Synthesis for Enhancing Long-Context Reasoning

Zechen Sun, Zecheng Tang, Juntao Li, Wenpeng Hu, Wenliang Chen

Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning

Yiliu Sun, Zicheng Zhao, Yang Wei, Yanfang Zhang, Chen Gong

Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation

Yanming Sun, Runzhe Zhan, Chi Seng Cheang, Han Wu, Xuebo Liu

CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization

Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang

Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration

QiYao Sun, Xingming Li, Xixiang He, Ao Cheng, Xuanyu Ji

Scope Delineation Before Localization: A Two-Stage Framework for Enhancing Failure Attribution in Multi-Agent Systems

Kai Sun, Wenqiang Li, Bo Dong, Yuxin Lin, Jingyao Zhang

Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection

Kai Sun, Yuxin Lin, Bo Dong, Jingyao Zhang, Bin Shi

Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs

Chenghao Sun, Zhen Huang, Yonggang Zhang, Xinmei Tian, Xu Shen

ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment

Yize Sui, Yan Xu, Kun Hu, Jing Ren, Wenjing Yang

Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer’s Disease Detection

PuZhen Su, Haoran Yin, Miao Yongzhu, Jintao Tang, Shasha Li

CP-Router: An Uncertainty-Aware Router Between LLM and LRM

Jiayuan Su, Fulin Lin, Zhaopeng Feng, Han Zheng, Teng Wang

Chinese Two-part Allegorical Sayings Reading Comprehension: Exploration from Reasoning to Metaphor

Dongyu Su, Yimin Xiao, Tongguan Wang, Feiyue Xue, Junkai Li

Optimization and Robustness-Informed Membership Inference Attacks for LLMs

Zichen Song, Qixin Zhang, Ming Li, YAO SHU

Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction

Yuerong Song, Xiaoran Liu, Ruixiao Li, Zhigeng Liu, zengfeng Huang

MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering

Seokwon Song, Minsu Park, Gunhee Kim

Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction

Ruike Song, Zeen Song, Huijie Guo, Wenwen Qiang

BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives

Aarush Sinha, Pavan Kumar S, Roshan Balaji, Nirav Pravinbhai Bhatt

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning

Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang

qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs

Shreya Shukla, Aditya Sriram, Milinda Kuppur Narayanaswamy, Hiteshi Jain

Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty

Zeyu Shi, Ziming Wang, Tianyu Chen, Shiqi Gao, Haoyi Zhou

Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion

Yi Shi, Wenlong Meng, Zhenyuan Guo, Chengkun Wei, Wenzhi Chen

From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench

Weikang Shi, Houxing Ren, Junting Pan, Aojun Zhou, Ke Wang

ProFuser: Progressive Fusion of Large Language Models

Tianyuan Shi, Fanqi Wan, Canbin Huang, Xiaojun Quan, Chenliang Li

Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios

Luohe Shi, Zuchao Li, Lefei Zhang, Baoyuan Qi, Guoming Liu

Perturb Your Data: Paraphrase-Guided Training Data Watermarking

Pranav Shetty, Mirazul Haque, Petr Babkin, Zhiqiang Ma, Xiaomo Liu

Are We on the Right Way to Assess Document Retrieval-Augmented Generation?

Wenxuan Shen, Mingjia Wang, Yaochen Wang, Dongping Chen, Junjie Yang

LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models

Tiesunlong Shen, Rui Mao, Jin Wang, Heming Sun, Jian Zhang

Constructing Superior Representations Beyond the Original Documents via a Contrastive Gaussian Fusion Network for Clustering

Ao Shen, Ruizhang Huang, Jingjing Xue, Ruina Bai

From Chaos to Cure: A Prefix Heuristics Guided Model-Agnostic Adaptive Detoxification Framework

Yuhu Shang, Xiang Cheng, Yimeng Ren, Huijia Wu, Xuexiong Luo

AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs

Debdeep Sanyal, Manodeep Ray, Murari Mandal

Bonsai: Interpretable Tree-Adaptive Grounded Reasoning

Kate Sanders, Benjamin Van Durme

Positional Cognitive Specialization: Where Do LLMs Learn to Comprehend and Speak Your Language?

Luis Frentzen Salim, Lun-Wei Ku, Hsing-Kuo Kenneth Pao

Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation

Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa, Mamoru Komachi

Incorporating Token Importance in Multi-Vector Retrieval

Archish S, Ankit Garg, Kirankumar Shiragur, Neeraj Kayal

RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions

Yanchi Ru, Yue Huang, Xiangliang Zhang

Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks

Dimitrios Rontogiannis, Maxime Peyrard, Nicolas Baldwin, Martin Josifoski, Robert West

Speech-Aware Long Context Pruning and Integration for Contextualized Automatic Speech Recognition

Yiming Rong, Yixin Zhang, Ziyi Wang, Deyang Jiang, Yunlong Zhao

PASE: Leveraging the Phonological Prior of WavLM for Low-Hallucination Generative Speech Enhancement

Xiaobin Rong, Qinwen Hu, Mansur Yesilbursa, Kamil Wojcicki, Jing LU

Anchor Watermark: Robust Attribution for Diffusion-based Text-to-Audio Model

Xianjin Rong, Donghui Hu

SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling

Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych

A Text-Routed Sparse Mixture-of-Experts Model with Explanation and Temporal Alignment for Multi-Modal Sentiment Analysis

Dongning Rao, Yunbiao Zeng, Zhihua Jiang, Jujian Lv

Are Language Models Any Good at Density Modeling?

Sriram Ranga, Sai Shashank Bedampeta, Rui Mao, Anupam Chattopadhyay

Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces

Shreyas Rajesh, Pavan Holur, Chenda Duan, David Chong, Vwani Roychowdhury

RetrySQL: Text-to-SQL Training with Retry Data for Self-Correcting Query Generation

Alicja Rączkowska, Riccardo Belluzzo, Piotr Zieliński, Joanna Baran, Paweł Olszewski

PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs

Zhan Qu, Shuzhou Yuan, Michael Färber

MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies

Weiwei Qi, Shuo Shao, Wei Gu, Tianhang Zheng, Puning Zhao

MirrorShield: Towards Dynamic Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting

Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu

Facilitating Early Maladaptive Schema–Guided Polite and Empathetic Psychotherapeutic Support: An LLM-Driven MoE-RL-Based Dialogue System

Priyanshu Priya, Asif Ekbal

SOM Directions Are Better than One: Multi-Directional Refusal Suppression in Language Models

Giorgio Piras, Raffaele Mura, Fabio Brau, Luca Oneto, Fabio Roli

Small Models Exhibit Limited Answer Consistency in Repetition Trials of the Multiple-Choice MMLU-Redux and MedQA Benchmarks

Claudio Pinhanez, Paulo Cavalin, Cassia Sanctos, Marcelo Carpinette Grave

GloCTM: Cross-Lingual Topic Modeling via a Global Context Space

Nguyen Tien Phat, Ngo Vu Minh, Linh Ngo Van, Nguyen Thi Ngoc Diep, Thien Huu Nguyen

Don’t Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints

Nicolò Penzo, Marco Guerini, Bruno Lepri, Goran Glavaš, Sara Tonelli

FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations

Yixing Peng, Licheng Zhang, Shancheng Fang, Yi Liu, Peijian Gu

WaterMod: Modular Token-Rank Partitioning for Probability-Balanced LLM Watermarking

Shinwoo Park, Hyejin Park, Hyeseon Ahn, Yo-Sub Han

ProgRAG: Hallucination-Resistant Progressive Retrieval and Reasoning over Knowledge Graphs

Minbae Park, Hyemin Yang, Jeonghyun Kim, Kunsoo Park, Hyunjoon Kim

Explain with Visual Keypoints Like a Real Mentor! A Benchmark for Multimodal Solution Explanation

Jaewoo Park, Jungyang Park, Dongju Jang, Jiwan Chung, Byungwoo Yoo

WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety

Shilong Pan, Zhiliang Tian, Wanlong Yu, Zhen Huang, Qingyu Qiu

Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model

Junshu Pan, Wei Shen, Shulin Huang, Qiji Zhou, Yue Zhang

Bias Association Discovery Framework for Open-Ended LLM Generations

Jinhao Pan, Chahat Raj, Ziwei Zhu

DSCodeBench: A Realistic Benchmark for Data Science Code Generation

Shuyin Ouyang, Dong Huang, Jingwen Guo, Zeyu Sun, Qihao Zhu

SERL: Self-Examining Reinforcement Learning on Open-Domain

Weixuan Ou, Yanzhao Zheng, Shuoshuo Sun, Wei Zhang, Baohua Dong

GateRA: Token-aware Modulation for Parameter-Efficient Fine-tuning

Jie Ou, Shuaihong Jiang, Yingjun Du, Cees G. M. Snoek

GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning

Wolfgang Otto, Lu Gan, Sharmila Upadhyaya, Saurav Karmakar, Stefan Dietze

Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning

Jungsuk Oh, Jay-Yoon Lee

TokenPowerBench: Benchmarking the Power Consumption of LLM Inference

Chenxu Niu, Wei Zhang, Jie Li, Yongjian Zhao, Tongyang Wang

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering

Yunfeng Ning, Mayi Xu, Jintao Wen, Qiankun Pi, Yuanyuan Zhu

GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging

Ziyi Ni, Huacan Wang, Shuo Zhang, Shuo Lu, Ziyang He

Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models

Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models

Manh Nguyen, Sunil Gupta, Hung Le

Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting

Yunhun Nam, Jaehyung Kim, Jongheon Jeong

A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis

Wenxuan Mu, Jinzhong Ning, Di Zhao, Yijia Zhang

Hearing More with Less: Multi-Modal Retrieval-and-Selection Augmented Conversational LLM-Based ASR

Bingshen Mu, Hexin Liu, Hongfei Xue, Kun Wei, Lei Xie

Textual Self-Attention Network: Test-Time Preference Optimization Through Textual Gradient-Based Attention

Shibing Mo, Haoyang Ruan, Kai WU, Jing Liu

QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion

Sahil Mishra, Avi Patni, Niladri Chatterjee, Tanmoy Chakraborty

MindVote: When AI Meets the Wild West of Social Media Opinion

Xutao Mao, Ezra Xuanru Tao, Leyao Wang

BhashaKritika: Building Synthetic Pretraining Data at Scale for Indic Languages

Guduru Manoj, Neel Prabhanjan Rachamalla, Ashish Kulkarni, Gautam Rajeev, Jay Piplodiya

Confidence Estimation for Text-to-SQL in Large Language Models

Sepideh Entezari Maleki, Mohammadreza Pourreza, Davood Rafiei

RefRea: Reference-Guided Reasoning with Meta-Cognition for Accurate Language Model Agents

Yuxiang Mai, Qiyue Yin, Wancheng Ni, Jianwei Guo, Xiaogang Ouyang