Convolutional Neural Network Architectures for Matching Natural Language Sentences. - Baotian Hu; Zhengdong Lu; Hang Li 001; Qingcai Chen (NIPS, 2014)

A Short Texts Matching Method Using Shallow Features and Deep Features. - Longbiao Kang; Baotian Hu; Xiangping Wu 001; Qingcai Chen; Yan He (NLPCC, 2014)

Context-Dependent Translation Selection Using Convolutional Neural Network. - Baotian Hu; Zhaopeng Tu; Zhengdong Lu; Hang Li 001; Qingcai Chen (ACL (2), 2015)

Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering. - Xiaoqiang Zhou; Baotian Hu; Qingcai Chen; Buzhou Tang; Xiaolong Wang 001 (ACL (2), 2015)

LCSTS: A Large Scale Chinese Short Text Summarization Dataset. - Baotian Hu; Qingcai Chen; Fangze Zhu (EMNLP, 2015)

An Auto-Encoder for Learning Conversation Representation Using LSTM. - Xiaoqiang Zhou; Baotian Hu; Qingcai Chen; Xiaolong Wang 001 (ICONIP (1), 2015)

ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge. - Xiaoqiang Zhou; Baotian Hu; Jiaxin Lin; Yang Xiang 003; Xiaolong Wang 001 (SemEval@NAACL-HLT, 2015)

Context-Dependent Translation Selection Using Convolutional Neural Network. - Zhaopeng Tu; Baotian Hu; Zhengdong Lu; Hang Li 001 (CoRR, 2015)

Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition. - Baotian Hu; Xin Liu 054; Xiangping Wu 001; Qingcai Chen (CoRR, 2016)

A novel word embedding learning model using the dissociation between nouns and verbs. - Baotian Hu; Buzhou Tang; Qingcai Chen; Longbiao Kang (Neurocomputing, 2016)

Learning to Extract Coherent Summary via Deep Reinforcement Learning. - Yuxiang Wu; Baotian Hu (AAAI, 2018)

Sentence Simplification with Memory-Augmented Neural Networks. - Tu Vu; Baotian Hu; Tsendsuren Munkhdalai; Hong Yu 001 (NAACL-HLT (2), 2018)

Recurrent convolutional neural network for answer selection in community question answering. - Xiaoqiang Zhou; Baotian Hu; Qingcai Chen; Xiaolong Wang 001 (Neurocomputing, 2018)

Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning. - Dongfang Li 002; Ying Xiong; Baotian Hu; Hanyang Du; Buzhou Tang; Qingcai Chen (BioNLP-OST@EMNLP-IJNCLP, 2019)

A Neural Abstractive Summarization Model Guided with Topic Sentences. - Kai Chen; Baotian Hu; Qingcai Chen; Hong Yu 001 (Aust. J. Intell. Inf. Process. Syst., 2019)

MedWriter: Knowledge-Aware Medical Text Generation. - Youcheng Pan; Qingcai Chen; Weihua Peng; Xiaolong Wang 001; Baotian Hu; Xin Liu 054; Junying Chen; Wenxiu Zhou (COLING, 2020)

Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text. - Dongfang Li 002; Baotian Hu; Qingcai Chen; Weihua Peng; Anqi Wang (EMNLP (1), 2020)

Learning to Generate Diverse Questions from Keywords. - Youcheng Pan; Baotian Hu; Qingcai Chen; Yang Xiang 003; Xiaolong Wang 001 (ICASSP, 2020)

AdaHGNN: Adaptive Hypergraph Neural Networks for Multi-Label Image Classification. - Xiangping Wu 001; Qingcai Chen; Wei Li; Yulun Xiao; Baotian Hu (ACM Multimedia, 2020)

Text-Guided Neural Image Inpainting. - Lisai Zhang; Qingcai Chen; Baotian Hu; Shuoran Jiang (ACM Multimedia, 2020)

Neural Image Inpainting Guided with Descriptive Text. - Lisai Zhang; Qingcai Chen; Baotian Hu; Shuoran Jiang (CoRR, 2020)

Neural Data-to-Text Generation with Dynamic Content Planning. - Kai Chen; Fayuan Li; Baotian Hu; Weihua Peng; Qingcai Chen; Hong Yu 001 (CoRR, 2020)

Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition. - Xin Liu 054; Baotian Hu; Qingcai Chen; Xiangping Wu 001; Jinghan You (IEEE Trans. Neural Networks Learn. Syst., 2020)

Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning. - Shuoran Jiang; Qingcai Chen; Xin Liu 054; Baotian Hu; Lisai Zhang (ACL/IJCNLP (1), 2021)

A Large-Scale Chinese Long-Text Extractive Summarization Corpus. - Kai Chen; Guanyu Fu; Qingcai Chen; Baotian Hu (ICASSP, 2021)

Enriching BERT With Knowledge Graph Embedding For Industry Classification. - Shiyue Wang; Youcheng Pan; Zhenran Xu; Baotian Hu; Xiaolong Wang 001 (ICONIP (6), 2021)

MSDF: A General Open-Domain Multi-skill Dialog Framework. - Yu Zhao 043; Xinshuo Hu; Yunxin Li; Baotian Hu; Dongfang Li 002; Sichao Chen; Xiaolong Wang 001 (NLPCC (2), 2021)

You Can Do Better! If You Elaborate the Reason When Making Prediction. - Dongfang Li 002; Jingcong Tao; Qingcai Chen; Baotian Hu (CoRR, 2021)

GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph. - Yunxin Li; Yu Zhao 043; Baotian Hu; Qingcai Chen; Yang Xiang 003; Xiaolong Wang 001; Yuxin Ding; Lin Ma 002 (CoRR, 2021)

Sentence-level Online Handwritten Chinese Character Recognition. - Yunxin Li; Qian Yang 007; Qingcai Chen; Lin Ma 002; Baotian Hu; Xiaolong Wang 001; Yuxin Ding (CoRR, 2021)

Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning. - Tiantian Zhu 002; Yang Qin 001; Yang Xiang 003; Baotian Hu; Qingcai Chen; Weihua Peng (J. Am. Medical Informatics Assoc., 2021)

Neural data-to-text generation with dynamic content planning. - Kai Chen; Fayuan Li; Baotian Hu; Weihua Peng; Qingcai Chen; Hong Yu 001; Yang Xiang 003 (Knowl. Based Syst., 2021)

Attentive capsule network for click-through rate and conversion rate prediction in online advertising. - Dongfang Li 002; Baotian Hu; Qingcai Chen; Xiao Wang; Quanchang Qi; Liubin Wang; Haishan Liu (Knowl. Based Syst., 2021)

Decomposing word embedding with the capsule network. - Xin Liu 054; Qingcai Chen; Yan Liu 004; Joanna Siebert; Baotian Hu; Xiangping Wu 001; Buzhou Tang (Knowl. Based Syst., 2021)

Drug knowledge discovery via multi-task learning and pre-trained models. - Dongfang Li 002; Ying Xiong; Baotian Hu; Buzhou Tang; Weihua Peng; Qingcai Chen (BMC Medical Informatics Decis. Mak., 2021)

LCSegNet: An Efficient Semantic Segmentation Network for Large-Scale Complex Chinese Character Recognition. - Xiangping Wu 001; Qingcai Chen; Yulun Xiao; Wei Li; Xin Liu 054; Baotian Hu (IEEE Trans. Multim., 2021)

Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. - Dongfang Li 002; Baotian Hu; Qingcai Chen; Tujie Xu; Jingcong Tao; Yunan Zhang 003 (AAAI, 2022)

Prompt-based Text Entailment for Low-Resource Named Entity Recognition. - Dongfang Li 002; Baotian Hu; Qingcai Chen (COLING, 2022)

Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates. - Dongfang Li 002; Baotian Hu; Qingcai Chen (EMNLP, 2022)

An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. - Yuxiang Wu; Yu Zhao 043; Baotian Hu; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (EMNLP, 2022)

Multi-Role Event Argument Extraction as Machine Reading Comprehension with Argument Match Optimization. - Jingcong Tao; Youcheng Pan; Xinyu Li; Baotian Hu; Weihua Peng; Cuiyun Han; Xiaolong Wang 001 (ICASSP, 2022)

Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking. - Tiantian Zhu 002; Yang Qin 001; Qingcai Chen; Baotian Hu; Yang Xiang 003 (IJCAI, 2022)

Medical Dialogue Response Generation with Pivotal Information Recalling. - Yu Zhao 043; Yunxin Li; Yuxiang Wu; Baotian Hu; Qingcai Chen; Xiaolong Wang 001; Yuxin Ding; Min Zhang 005 (KDD, 2022)

Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations. - Qian Yang 007; Yunxin Li; Baotian Hu; Lin Ma 002; Yuxin Ding; Min Zhang 005 (ACM Multimedia, 2022)

Enhancing Entity Linking with Contextualized Entity Embeddings. - Zhenran Xu; Yulin Chen; Senbao Shi; Baotian Hu (NLPCC (2), 2022)

Biomedical relation extraction via knowledge-enhanced reading comprehension. - Jing Chen; Baotian Hu; Weihua Peng; Qingcai Chen; Buzhou Tang (BMC Bioinform., 2022)

Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation. - Qian Yang 007; Qian Chen 003; Wen Wang 001; Baotian Hu; Min Zhang 005 (CoRR, 2022)

Improving Biomedical Entity Linking with Cross-Entity Interaction. - Zhenran Xu; Yulin Chen; Baotian Hu (AAAI, 2023)

A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues. - Yunxin Li; Baotian Hu; Xinyu Chen 003; Yuxin Ding; Lin Ma 002; Min Zhang 005 (ACL (1), 2023)

A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text. - Yunxin Li; Baotian Hu; Yuxin Ding; Lin Ma 002; Min Zhang 005 (ACL (1), 2023)

Revisiting Sparse Retrieval for Few-shot Entity Linking. - Yulin Chen; Zhenran Xu; Baotian Hu; Min Zhang 005 (EMNLP, 2023)

ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination. - Dongfang Li 002; Jindi Yu; Baotian Hu; Zhenran Xu; Min Zhang 005 (EMNLP (Findings), 2023)

A Read-and-Select Framework for Zero-shot Entity Linking. - Zhenran Xu; Yulin Chen; Baotian Hu; Min Zhang 005 (EMNLP (Findings), 2023)

HITSZ TMG at ICASSP 2023 SPGC Shared Task: Leveraging Pre-Training and Distillation Method for Title Generation with Limited Resource. - Tianxiao Xu; Zihao Zheng; Xinshuo Hu; Zetian Sun; Yu Zhao 043; Baotian Hu (ICASSP, 2023)

PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification. - Zhenyu Liu; Baotian Hu; Zhenran Xu; Min Zhang 005 (IJCAI, 2023)

Enhancing Multi-modal Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation. - Qian Yang 007; Qian Chen 003; Wen Wang 001; Baotian Hu; Min Zhang 005 (ACM Multimedia, 2023)

Overview of NLPCC 2023 Shared Task 6: Chinese Few-Shot and Zero-Shot Entity Linking. - Zhenran Xu; Zifei Shan; Baotian Hu; Min Zhang 005 (NLPCC (3), 2023)

Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. - Zhenran Xu; Zifei Shan; Yuxin Li; Baotian Hu; Bing Qin 001 (WSDM, 2023)

LMEye: An Interactive Perception Network for Large Language Models. - Yunxin Li; Baotian Hu; Xinyu Chen 003; Lin Ma 002; Min Zhang 005 (CoRR, 2023)

A Survey of Large Language Models Attribution. - Dongfang Li 002; Zetian Sun; Xinshuo Hu; Zhenyu Liu; Ziyang Chen; Baotian Hu; Aiguo Wu 001; Min Zhang 005 (CoRR, 2023)

A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering. - Yunxin Li; Longyue Wang; Baotian Hu; Xinyu Chen 003; Wanqi Zhong; Chenyang Lyu; Min Zhang 005 (CoRR, 2023)

Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration. - Zhenran Xu; Senbao Shi; Baotian Hu; Jindi Yu; Dongfang Li 002; Min Zhang 005; Yuxiang Wu (CoRR, 2023)

Towards Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs. - Yunxin Li; Baotian Hu; Wei Wang 164; Xiaochun Cao; Min Zhang 005 (CoRR, 2023)

Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training. - Dongfang Li 002; Baotian Hu; Qingcai Chen; Shan He (CoRR, 2023)

Fine-grained biomedical knowledge negation detection via contrastive learning. - Tiantian Zhu 002; Yang Xiang 003; Qingcai Chen; Yang Qin 001; Baotian Hu; Wentai Zhang 003 (Knowl. Based Syst., 2023)

Fast and Robust Online Handwritten Chinese Character Recognition With Deep Spatial and Contextual Information Fusion Network. - Yunxin Li; Qian Yang 007; Qingcai Chen; Baotian Hu; Xiaolong Wang 001; Yuxin Ding; Lin Ma 002 (IEEE Trans. Multim., 2023)

Learning to generate complex question with intent prediction from long passage. - Youcheng Pan; Baotian Hu; Shiyue Wang; Xiaolong Wang 001; Qingcai Chen; Zenglin Xu; Min Zhang 005 (Appl. Intell., 2023)

Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. - Xinshuo Hu; Dongfang Li 002; Baotian Hu; Zihao Zheng; Zhenyu Liu; Min Zhang 005 (AAAI, 2024)

Temporal Knowledge Question Answering via Abstract Reasoning Induction. - Ziyang Chen; Dongfang Li 002; Xiang Zhao 002; Baotian Hu; Min Zhang 005 (ACL (1), 2024)

Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment. - Yunxin Li; Xinyu Chen 003; Baotian Hu; Haoyuan Shi; Min Zhang 005 (ACL (1), 2024)

Improving Attributed Text Generation of Large Language Models via Preference Learning. - Dongfang Li 002; Zetian Sun; Baotian Hu; Zhenyu Liu; Xinshuo Hu; Xuebo Liu 002; Min Zhang 005 (ACL (Findings), 2024)

Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. - Xinshuo Hu; Dongfang Li 002; Xiaoguang Li; Yuxiang Wu; Lifeng Shang; Baotian Hu (LREC/COLING, 2024)

A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation. - Yunxin Li; Baotian Hu; Wenhan Luo; Lin Ma 002; Yuxin Ding; Min Zhang 005 (LREC/COLING, 2024)

Generative Multimodal Entity Linking. - Senbao Shi; Zhenran Xu; Baotian Hu; Min Zhang 005 (LREC/COLING, 2024)

Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment. - Zhenyu Liu; Dongfang Li 002; Xinshuo Hu; Xinping Zhao; Yibin Chen; Baotian Hu; Min Zhang 005 (EMNLP, 2024)

MultiSkill: Evaluating Large Multimodal Models for Fine-grained Alignment Skills. - Zhenran Xu; Senbao Shi; Baotian Hu; Longyue Wang; Min Zhang 005 (EMNLP (Findings), 2024)

SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation. - Xinping Zhao; Dongfang Li 002; Yan Zhong; Boren Hu; Yibin Chen; Baotian Hu; Min Zhang 005 (EMNLP, 2024)

VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context. - Yunxin Li; Baotian Hu; Haoyuan Shi; Wei Wang 164; Longyue Wang; Min Zhang 005 (ICML, 2024)

Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation. - Xinping Zhao; Chaochao Chen 001; Jiajie Su; Yizhao Zhang; Baotian Hu (ICWS, 2024)

In-Context Learning State Vector with Inner and Momentum Optimization. - Dongfang Li 002; Zhenyu Liu; Xinshuo Hu; Zetian Sun; Baotian Hu; Min Zhang 005 (NeurIPS, 2024)

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection. - Liangxin Liu; Xuebo Liu 002; Derek F. Wong; Dongfang Li 002; Ziyi Wang; Baotian Hu; Min Zhang 005 (NeurIPS, 2024)

Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation. - Yunxin Li; Haoyuan Shi; Baotian Hu; Longyue Wang; Jiashun Zhu; Jinyi Xu; Zhen Zhao 001; Min Zhang 005 (SIGGRAPH Asia, 2024)

FilmAgent: Automating Virtual Film Production Through a Multi-Agent Collaborative Framework. - Zhenran Xu; Jifang Wang; Longyue Wang; Zhouyi Li; Senbao Shi; Baotian Hu; Min Zhang 005 (SIGGRAPH Asia Technical Communications, 2024)

LLMs Meet Long Video: Advancing Long Video Comprehension with An Interactive Visual Adapter in LLMs. - Yunxin Li; Xinyu Chen 003; Baotian Hu; Min Zhang 005 (CoRR, 2024)

Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. - Xinshuo Hu; Baotian Hu; Dongfang Li 002; Xiaoguang Li; Lifeng Shang (CoRR, 2024)

SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection. - Liangxin Liu; Xuebo Liu 002; Derek F. Wong; Dongfang Li 002; Ziyi Wang; Baotian Hu; Min Zhang 005 (CoRR, 2024)

VideoVista: A Versatile Benchmark for Video Understanding and Reasoning. - Yunxin Li; Xinyu Chen 003; Baotian Hu; Longyue Wang; Haoyuan Shi; Min Zhang 005 (CoRR, 2024)

Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion. - Xinping Zhao; Jindi Yu; Zhenyu Liu; Jifang Wang; Dongfang Li 002; Yibin Chen; Baotian Hu; Min Zhang 005 (CoRR, 2024)

RaSeRec: Retrieval-Augmented Sequential Recommendation. - Xinping Zhao; Baotian Hu; Yan Zhong; Shouzheng Huang; Zihao Zheng; Meng Wang 001; Haofen Wang; Min Zhang 005 (CoRR, 2024)

BioPRO: Context-Infused Prompt Learning for Biomedical Entity Linking. - Tiantian Zhu 002; Yang Qin 001; Ming Feng; Qingcai Chen; Baotian Hu; Yang Xiang 003 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

LMEye: An Interactive Perception Network for Large Language Models. - Yunxin Li; Baotian Hu; Xinyu Chen 003; Lin Ma 002; Yong Xu 001; Min Zhang 005 (IEEE Trans. Multim., 2024)

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. - Dongfang Li 002; Zetian Sun; Xinshuo Hu; Baotian Hu; Min Zhang 005 (AAAI, 2025)

VideoVista-CulturalLingo: 360° Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension. - Xinyu Chen 003; Yunxin Li; Haoyuan Shi; Baotian Hu; Wenhan Luo; Yaowei Wang 001; Min Zhang 005 (ACL (1), 2025)

A Unified Agentic Framework for Evaluating Conditional Image Generation. - Jifang Wang; Yangxue Yangxue; Longyue Wang; Zhenran Xu; Yiyu Wang; Yaowei Wang 001; Weihua Luo; Kaifu Zhang; Baotian Hu; Min Zhang 005 (ACL (1), 2025)

FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG. - Xinping Zhao; Yan Zhong; Zetian Sun; Xinshuo Hu; Zhenyu Liu; Dongfang Li 002; Baotian Hu; Min Zhang 005 (NAACL (Findings), 2025)

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model. - Xinshuo Hu; Zifei Shan; Xinping Zhao; Zetian Sun; Zhenyu Liu; Dongfang Li 002; Shaolin Ye; Xinyuan Wei; Qian Chen 003; Baotian Hu; Haofen Wang; Jun Yu; et al. (CoRR, 2025)

FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces. - Zhenran Xu; Longyue Wang; Jifang Wang; Zhouyi Li; Senbao Shi; Xue Yang 008; Yiyu Wang; Baotian Hu; Jun Yu; Min Zhang 005 (CoRR, 2025)

A vision-language model with multi-granular knowledge fusion in medical imaging. - Kai Chen; Yunxin Li; Xiwen Zhu; Wentai Zhang 003; Baotian Hu (World Wide Web (WWW), 2025)

Improving Value-based Process Verifier via Structural Prior Injection. - Zetian Sun; Dongfang Li 002; Baotian Hu; Jun Yu; Min Zhang 005 (CoRR, 2025)

Picking the Cream of the Crop: Visual-Centric Data Selection with Collaborative Agents. - Zhenyu Liu; Yunxin Li; Baotian Hu; Wenhan Luo; Yaowei Wang 001; Min Zhang 005 (CoRR, 2025)

A Unified Agentic Framework for Evaluating Conditional Image Generation. - Jifang Wang; Xue Yang 008; Longyue Wang; Zhenran Xu; Yiyu Wang; Yaowei Wang 001; Weihua Luo; Kaifu Zhang; Baotian Hu; Min Zhang 005 (CoRR, 2025)

VideoVista-CulturalLingo: 360° Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension. - Xinyu Chen 003; Yunxin Li; Haoyuan Shi; Baotian Hu; Wenhan Luo; Yaowei Wang 001; Min Zhang 005 (CoRR, 2025)

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models. - Yunxin Li; Zhenyu Liu; Zitao Li; Xuanyu Zhang; Zhenran Xu; Xinyu Chen 003; Haoyuan Shi; Shenyuan Jiang; Xintong Wang 001; Jifang Wang; Shouzheng Huang; Xinping Zhao; et al. (CoRR, 2025)

VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization. - Yunxin Li; Xinyu Chen 003; Zitao Li; Zhenyu Liu; Longyue Wang; Wenhan Luo; Baotian Hu; Min Zhang 005 (CoRR, 2025)

Uni-MoE: Scaling Unified Multimodal LLMs With Mixture of Experts. - Yunxin Li; Shenyuan Jiang; Baotian Hu; Longyue Wang; Wanqi Zhong; Wenhan Luo; Lin Ma 002; Min Zhang 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development. - Zhenran Xu; Xue Yang 008; Yiyu Wang; Qingli Hu; Zijiao Wu; Longyue Wang; Weihua Luo; Kaifu Zhang; Baotian Hu; Min Zhang 005 (CoRR, 2025)

ComfyUI-R1: Exploring Reasoning Models for Workflow Generation. - Zhenran Xu; Yiyu Wang; Xue Yang 008; Longyue Wang; Weihua Luo; Kaifu Zhang; Baotian Hu; Min Zhang 005 (CoRR, 2025)

Omni-DPO: A Dual-Perspective Paradigm for Dynamic Preference Learning of LLMs. - Shangpin Peng; Weinong Wang; Zhuotao Tian; Senqiao Yang; Xing Wu; Haotian Xu; Chengquan Zhang; Takashi Isobe; Baotian Hu; Min Zhang 005 (CoRR, 2025)

AniMaker: Automated Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation. - Haoyuan Shi; Yunxin Li; Xinyu Chen 003; Longyue Wang; Baotian Hu; Min Zhang 005 (CoRR, 2025)

KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model. - Xinping Zhao; Xinshuo Hu; Zifei Shan; Shouzheng Huang; Yao Zhou; Zetian Sun; Zhenyu Liu; Dongfang Li 002; Xinyuan Wei; Qian Chen 003; Youcheng Pan; Yang Xiang 003; et al. (CoRR, 2025)

Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation. - Xinping Zhao; Shouzheng Huang; Yan Zhong; Xinshuo Hu; Meishan Zhang; Baotian Hu; Min Zhang 005 (CoRR, 2025)

On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey. - Meishan Zhang; Xin Zhang 097; Xinping Zhao; Shouzheng Huang; Baotian Hu; Min Zhang 005 (CoRR, 2025)

Diversity First, Quality Later: A Two-Stage Assumption for Language Model Alignment. - Zetian Sun; Dongfang Li 002; Baotian Hu (CoRR, 2025)

Improving Value-based Process Verifier via Low-Cost Variance Reduction. - Zetian Sun; Dongfang Li 002; Baotian Hu; Min Zhang 005 (CoRR, 2025)

Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards. - Zetian Sun; Dongfang Li 002; Zhuoen Chen; Yuhuai Qin; Baotian Hu (CoRR, 2025)

A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation. - Ziyang Chen; Erxue Min; Xiang Zhao 002; Yunxin Li; Xin Jia; Jinzhi Liao; Jichao Li; Shuaiqiang Wang; Baotian Hu; Dawei Yin 001 (CoRR, 2025)

UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity MoE. - Zhenyu Liu; Yunxin Li; Xuanyu Zhang; Qixun Teng; Shenyuan Jiang; Xinyu Chen 003; Haoyuan Shi; Jinchao Li; Qi Wang; Haolan Chen; Fanbo Meng; Mingjun Zhao; et al. (CoRR, 2025)