Wayne Xin Zhao

Improving Vision-language Models with Perception-centric Process Reward Models CVPR 2026 Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization CVPR 2026 CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability EMNLP 2025 DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning NAACL 2025 Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis EMNLP 2025 Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models EMNLP 2025 Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation COLING 2025 KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph ACL 2025 LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation ACL 2025 ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework EMNLP 2025 Masks Can be Learned as an Alternative to Experts ACL 2025 MMATH: A Multilingual Benchmark for Mathematical Reasoning EMNLP 2025 On Domain-Adaptive Post-Training for Multimodal Large Language Models EMNLP 2025 RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement NAACL 2025 SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis EMNLP 2025 Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning EMNLP 2025 Socratic Style Chain-of-Thoughts Help LLMs to be a Better Reasoner ACL 2025 Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework EMNLP 2025 Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking ACL 2025 Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025 Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025 Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering ACL 2025 ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models EMNLP 2025 What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning COLING 2025 YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025 AuriSRec: Adversarial User Intention Learning in Sequential Recommendation EMNLP 2024 BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models COLING 2024 BASES: Large-scale Web Search User Simulation with Large Language Model based Agents EMNLP 2024 ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting COLING 2024 DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning ACL 2024 Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study COLING 2024 Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024 Exploring Context Window of Large Language Models via Decomposed Positional Vectors NeurIPS 2024 Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models ECCV 2024 Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint ACL 2024 JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models NeurIPS 2024 Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024 REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024 Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector EMNLP 2024 Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024 Continuous Trajectory Generation Based on Two-Stage GAN AAAI 2023 Diffusion Models for Non-autoregressive Text Generation: A Survey IJCAI 2023 Learning to Imagine: Visually-Augmented Natural Language Generation ACL 2023 MVP: Multi-task Supervised Pre-training for Natural Language Generation ACL 2023 PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction AAAI 2023 Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization ACL 2023 The Web Can Be Your Oyster for Improving Language Models ACL 2023 TOME: A Two-stage Approach for Model-based Retrieval ACL 2023 Visually-augmented pretrained language models for NLP tasks without images ACL 2023 Zero-shot Visual Question Answering with Language Model Feedback ACL 2023 A Survey of Vision-Language Pre-Trained Models IJCAI 2022 Context-Tuning: Learning Contextualized Prompts for Natural Language Generation COLING 2022 ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation EMNLP 2022 Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models COLING 2022 SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022 TextBox 2.0: A Text Generation Library with Pre-trained Language Models EMNLP 2022 A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base EMNLP 2021 A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions IJCAI 2021 CRSLab: An Open-Source Toolkit for Building Conversational Recommender System ACL 2021 Dual Sparse Attention Network For Session-based Recommendation AAAI 2021 Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021 Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models ACL 2021 PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval ACL 2021 Pretrained Language Model for Text Generation: A Survey IJCAI 2021 RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering NAACL 2021 RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking EMNLP 2021 TextBox: A Unified, Modularized, and Extensible Framework for Text Generation ACL 2021 Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021 Towards Topic-Guided Conversational Recommender System COLING 2020 A Neural Citation Count Prediction Model based on Peer Review Text EMNLP 2019 Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network EMNLP 2019 Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding ACL 2019 hyperdoc2vec: Distributed Representations of Hypertext Documents ACL 2018 Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network ACL 2018 A Correlated Topic Model Using Word Embeddings IJCAI 2017 Bayesian Probabilistic Multi-Topic Matrix Factorization for Rating Prediction IJCAI 2016 Knowledge Sharing via Social Login: Exploiting Microblogging Service for Warming up Social Question Answering Websites COLING 2014 Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs EMNLP 2013 Joint Learning for Coreference Resolution with Markov Logic EMNLP 2012 Topical Keyphrase Extraction from Twitter ACL 2011