AAAI 2026

4,920 papers

Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models

Saaduddin Mahmud, Mason Nakamura, Kyle Hollins Wray, Shlomo Zilberstein

QueryAligner: Customizing User Query to Match LLMs Preferences for Better Intent Recognition

Yunlong Ma, Bo Wang, Yihong Tang, Zifei Yu, Chenyun Xue

Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing

Shichao Ma, Yunhe Guo, Jiahao Su, Qihe Huang, Zhengyang Zhou

Large Language Models Struggle with Unreasonability in Math Problems

Jingyuan Ma, Damai Dai, Zihang Yuan, Rui Li, Weilin Luo

ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models

Huipeng Ma, Luan Zhang, Dandan Song, Linmei Hu, Yuhang Tian

Cueing Without Gapping: Cuer-Independent Cued Speech Recognition Powered by Cross-Cuer Invariant Modeling

Fengji Ma, Chenxing Li, Li Liu

A Boundary Token Graph for Zero-Shot Relation Triplet Extraction Involving Discontinuous Entities

Kailun Lyu, Zehan Li, Fu Zhang, Jingwei Cheng

Trainable EEG Interpolation and Structure-Sharing Dual-Path Encoders for Brain-Assisted Target Speaker Extraction

Zhao Lv, Haoran Zhou, Ying Chen, Youdian Gao, Xinhui Li

Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement

fangrui lv, Lei Wang, Ruixin Hong, Yong Du, Xiangyu Wu

Better Datasets Start from RefineLab: Automatic Optimization for High-Quality Dataset Refinement

Xiaonan Luo, Yue Huang, Ping He, Xiangliang Zhang

RetroLM: Retrieval-Augmented KVs for Long-Context Processing

Kun Luo, Zheng Liu, Shitao Xiao, Jiabei Chen, Hongjin Qian

SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis

Haitong Luo, Weiyao Zhang, Suhang Wang, Wenji Zou, Chungang Lin

DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts

Yujing Lu, Ling Zhong, Jing Yang, Weiming Li, Peng Wei

DEALT: LLM-driven Diversity-Enhanced Data Augmentation for Long-Tail Text Classification

Wayne Lu, Xiaoxi Cui

URPO: A Unified Reward & Policy Optimization Framework for Large Language Models

Songshuo Lu, Hua Wang, Zhi Chen, Yaohua Tang

MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration

Hao Lu, Yanchi Gu, Haoyuan Huang, Yulin Zhou, Ningxin Zhu

ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech

Haowei Lou, Hye-young Paik, Wen Hu, Lina Yao

ZipLJP: Zipped Information Processor for Legal Judgment Prediction

Fanghao Lou, Qiqi Wang, Guanyu Chen, Kaiqi Zhao, Huijia Li

Intuitive Thinking: Expanding Large Language Models’ Thinking for Rapid Decision-Making on Candidate Corrections in Chinese Grammar Error Correction

Lintao Long, Ruizhang Huang, Ruina Bai, Yongbin Qin, Qihang Fu

SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning

Lingkun Long, Rubing Yang, Yushi Huang, Desheng Hui, ao zhou

Schema-Guided Event Reasoning: A Plug-and-Play Event Reasoning Framework Based on Large Language Models

Yuying Liu, Xuechen Zhao, Yanyi Huang, Ye Wang, XIN SONG

InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization

Yuhang Liu, Zeyu Liu, Shuanghe Zhu, Pengxiang Li, Congkai Xie

OPERA: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval

Yu Liu, Yanbing Liu, Fangfang Yuan, Cong Cao, Youbang Sun

HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation

Yiran Liu, Zhiyi Hou, Xiaoang Xu, Shuo Wang, Huijia Wu

Judge Q: Trainable Queries for Optimized Information Retention in KV Cache Eviction

Yijun Liu, Yixuan Wang, Yuzhuang Xu, Shiyu Ji, Yang Xu

Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models

Yi Liu, Xiangyu Liu, Zequn Sun, Wei Hu

From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data Synthesis

Yanyi Liu, Qingwen Yang, Tiezheng Guo, Feiyu Qu, Jun Liu

Let’s Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts

Xu Liu, Yongheng Zhang, Qiguang Chen, Yao Li, Sheng wang

OX-MABSR: A Benchmark for Open-domain Explainable Multimodal Aspect-Based Sentiment Reasoning

Xinjing Liu, ZiXin Xue, Pengyue Lin, Xinyu Tu, Siwei Xu

Focusing on Language: Revealing and Exploiting Language Attention Heads in Multilingual Large Language Models

Xin Liu, Qiyang Song, Qihang Zhou, Haichao Du, Shaowen Xu

LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs

Xiaoran Liu, Yuerong Song, Zhigeng Liu, zengfeng Huang, Qipeng Guo

WaveEx: Accelerating Flow Matching-based Speech Generation via Wavelet-guided Extrapolation

Xiaoqian Liu, Xiyan Gui, Zhengkun Ge, Yuan Ge, Chang Zou

TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs

Shuyi Liu, Yu-Ming Shang, Xi Zhang

Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning

Shuochen Liu, Pengfei Luo, Chao Zhang, Yuhao Chen, Haotian Zhang

LLM Collaboration with Multi-Agent Reinforcement Learning

Shuo Liu, Zeyu Liang, Xueguang Lyu, Christopher Amato

BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models

Shuaitong Liu, Renjue Li, Lijia Yu, Lijun Zhang, Zhiming Liu

MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment

Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma

SafeNLIDB: A Privacy-Preserving Safety Alignment Framework for LLM-based Natural Language Database Interfaces

Ruiheng Liu, Xiaobing Chen, Jinyu Zhang, Qiongwen Zhang, Yu Zhang

Towards Authentic Movie Dubbing with Retrieve-Augmented Director-Actor Interaction Learning

Rui Liu, Yuan Zhao, Zhenqi Jia

ARBench: Algorithmic Reasoner or API Alchemist? Evaluating LLMs Beyond API Calls

Ren-Biao Liu, Chao-Zeng Ma, Anqi Li, Hui Sun, Xin-Ye Li

Dynamic-Static Synergistic Selection Method for Candidate Code Solutions with Generated Test Cases

Ren-Biao Liu, Jiang-Tian Xue, Chao-Zeng Ma, Hui Sun, Xin-Ye Li

Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions?

Ming Liu, Hao Chen, Jindong Wang, Liwen Wang, Jingchen Sun

Easy for Children, Hard for AI: The Limits of Multimodal LLMs in Early Childhood Learning

Jingping Liu, Xueyan Wu, Hanxuan Chen, Ziyan Liu, Zhangquan Chen

Dynamic Cognitive Planning for Cognitive-Functional Dialogue: A Case Study in Emotional Support Conversation

Jiaqi Liu, Yankun Yang, Jiakang Xu, Zhongqiang Du, Wenbin Jiang

Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data

Jiacheng Liu, Mayi Xu, Qiankun Pi, Wenli Li, Ming Zhong

SparseRM: A Lightweight Preference Modeling with Sparse Autoencoder

Dengcan Liu, Jiahao Li, Zheren Fu, Yi Tu, Jiajun Li

RPM-MCTS: Knowledge-Retrieval as Process Reward Model with Monte Carlo Tree Search for Code Generation

Yuanyuan Lin, Xiangyu Ouyang, Teng Zhang, Kaixin Sui

GeWu: A Culturally-Grounded Chinese Benchmark for Multi-Stage Social Bias Evaluation in Large Language Models

Yi Lin, Ziyi Zhou, Jiashi Gao, Xinwei Guo, Jiaxin Zhang

Diffusion-Assisted Progressive Learning for Weakly Supervised Phrase Localization

Pengyue Lin, Yanyang Hu, Xinjing Liu, Wenqi Jia, Fangxiang Feng

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers

Liang Lin, Miao Yu, Kaiwen Luo, Yibo Zhang, Lilan Peng

Towards Better Code Understanding in Decoder-Only Models with Contrastive Learning

Jiayi Lin, Yanlin Wang, Yibiao Yang, Lei Zhang, Yutao Xie

GrayKD: Distilling Better Knowledge from Black-box LLM via Multi-rationale Injection

Hyeongsoo Lim, Hyung Yong Kim, Jin Young Kim, Min Ho Jang, Eun Seo Seo

DRIFT: Difference-Aware Reinforcement Through Iterative Fine-Tuning for Language Model

Wenjie Liao, Xiaohui Song, Haonan Lu

Query-Routed Activation Editing with Truth-hierarchical Preference Optimization

Kewei Liao, Tianbo Wang, Yuqing Ma, Zhange Zhang, Zhicheng Geng

RLMR: Reinforcement Learning with Mixed Rewards for Creative Writing

Jianxing Liao, Tian Zhang, Xiao Feng, Yusong Zhang, Haorui Wang

SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning

Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin

EquaCode: A Multi-Strategy Jailbreak Approach for Large Language Models via Equation Solving and Code Completion

Zhen Liang, Hai Huang, Zhengkui Chen

SLD-L2S: Hierarchical Subspace Latent Diffusion for High-Fidelity Lip to Speech Synthesis

Yifan Liang, Andong Li, Kang Yang, Guochen Yu, Fangkun Liu

SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models

Xun Liang, Hanyu Wang, Huayi Lai, Simin Niu, Shichao Song

Safe RAG by RAG: Untying the Bell That RAG Rang with the RAG Hand

Xun Liang, Mengwei Wang, Yuefeng Ma, Simin Niu

Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning

Sirui Liang, Pengfei Cao, Jian Zhao, Cong Huang, Jun Zhao

NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models

Feng Liang, Weixin Zeng, Runhao Zhao, Xiang Zhao

Efficient Thought Space Exploration Through Strategic Intervention

Ziheng Li, Hengyi Cai, Xiaochi Wei, Yuchen Li, Shuaiqiang Wang

MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering

Zhifei Li, Yiran Wang, Chenyi Xiong, Yujing Xia, Xiaoju Hou

GraphIF: Enhancing Multi-Turn Instruction Following for Large Language Models with Relation Graph Prompt

Zhenhe Li, Can Lin, Ling Zheng, Wen-Da Wei, Junli Liang

Query-Efficient Domain Knowledge Stealing Against Large Language Models

Zhengao Li, Xiaopeng Yuan, Bolin Shen, Kien Le, Haohan Wang

SepPrune: Structured Pruning for Efficient Deep Speech Separation

Yuqi Li, Kai Li, Xin Yin, Zhifei Yang, Zeyu Dong

Mitigating Hallucinations in Large Language Models via Causal Reasoning

Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang

AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search

Yu Li, Lehui Li, zhihao wu, Qingmin Liao, Jianye Hao

C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation

Yu Li, Zhe Yang, Yi Huang, Xin Liu, Guilin Qi

TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model

Yixing Li, Ruobing Xie, Zhen Yang, Xingwu Sun, Shuaipeng Li

DMOSpeech 2: Reinforcement Learning for Duration Prediction in Metric-Optimized Speech Synthesis

Yinghao Aaron Li, Xilin Jiang, Fei Tao, Cheng Niu, Kaifeng Xu

PLaST: Towards Paralinguistic-aware Speech Translation

Yi Li, Rui Zhao, Ruiquan Zhang, Jinsong Su, Daimeng Wei

VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains

Xuzhao Li, Xuchen Li, Shiyu Hu, Yongzhen Guo, Wentao Zhang

Anti-adversarial Learning: Desensitizing Prompts for Large Language Model

Xuan Li, Zhe Yin, Xiaodong Gu, Beijun Shen

Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning

Xinran Li, Yu Liu, Jiaqi Qiao, Xiujuan Xu

LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation

Xingyu Li, Xiaolei Liu, Cheng Liu, Yixiao Xu, Kangyi Ding

Selection of LLM Fine-Tuning Data Based on Orthogonal Rules

Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu

Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs

Xiaomin Li, Zhou Yu, Ziji Zhang, Yingying Zhuang, Swair Shah

ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models

Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao

Step-GRPO: Enhancing Reasoning Quality and Efficiency via Structured PRM-Based Reinforcement Learning

Weijie Li, Jin Wang, Liang-Chih Yu, Xuejie Zhang

Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search

Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu

Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates

Shuaimin Li, Liyang Fan, Yufang Lin, Zeyang Li, xian wei

CoFact: Dynamic Coordination of Attention Heads for Improving Factual Consistency in LLMs

Shike Li, Xiaokai Wang, Xiaofeng Liu, Xin Tong, Hu Zhang

OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification

Shangyu Li, Juyong Jiang, Tiancheng Zhao, Jiasi Shen

Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization

Qizhi Li, Xuyang Wang, Yingke Chen, Ming Yan, Dezhong Peng

AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization

Qiyang Li, Rui Kong, Yuchen Li, Hengyi Cai, Shuaiqiang Wang

From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation

Qingchuan Li, Mingyue Cheng, Zirui Liu, Daoyu Wang, Yuting Zeng

Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging

Qinfeng Li, Miao Pan, Jintao Chen, Fu Teng, Zhiqiang Shen

RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation

Qinfeng Li, Miao Pan, Ke Xiong, Ge Su, Zhiqiang Shen

Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation

Qiming Li, Zekai Ye, Xiaocheng Feng, Weihong Zhong, Weitao Ma

RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems

Mengfan Li, Xuanhua Shi, Yang Deng

WenetSpeech-Yue: A Large-Scale Cantonese Speech Corpus with Multi-dimensional Annotation

Longhao Li, Zhao Guo, Hongjie Chen, Yuhang Dai, Ziyu Zhang

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization

Junsong Li, Jie Zhou, Bihao Zhan, Yutao Yang, Qianjun Pan

From Single to Societal: Analyzing Persona-Induced Bias in Multi-Agent Interactions

Jiayi Li, Xiao Liu, Yansong Feng

From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning

Haoyu Li, Xuhong Li, Yiming Dong, Kun Liu

Semi-Supervised Synthetic Data Generation with Fine-Grained Relevance Control for Short Video Search Relevance Modeling

Haoran Li, Zhiming Su, Junyan Yao, Enwei Zhang, Yang Ji

From Sampling to Cognition: Modeling Internal Cognitive Confidence in Language Models for Robust Uncertainty Calibration

Hao Li, Tao He, Jiafeng Liang, Zheng Chu, Ming Liu

K-STaR: Knowledge-Aware Self-Taught Reasoner

Guozheng Li, Xinyu Zhang

KVmix: Gradient-Based Layer Importance-Aware Mixed-Precision Quantization for KV Cache

Fei Li, Song Liu, Weiguo Wu, Shiqiang Nie, Jinyu Wang