Very low-dimensional latent semantic indexing for local query regions. - Yinghui Xu; Kyoji Umemura (IRAL, 2003)

Literal-Matching-Biased Link Analysis. - Yinghui Xu; Kyoji Umemura (AIRS, 2004)

Using Virtual Document for NTCIR-4 Web Information Retrieval Task. - Yinghui Xu; Kyoji Umemura (NTCIR, 2004)

A unified model of literal mining and link analysis for ranking web resources. - Yinghui Xu; Kyoji Umemura (SIGIR, 2004)

Improvements of Katz K Mixture Model. - Yinghui Xu; Kyoji Umemura (Inf. Media Technol., 2006)

Automatic image tagging as a random walk with priors on the canonical correlation subspace. - Timothée Bailloeul; Cai-Zhi Zhu; Yinghui Xu (Multimedia Information Retrieval, 2008)

SIGIR 2017 Workshop on eCommerce (ECOM17). - Jon Degenhardt; Surya Kallumadi; Maarten de Rijke; Luo Si; Andrew Trotman; Yinghui Xu (SIGIR, 2017)

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. - Jun Wang 012; Lantao Yu; Weinan Zhang 001; Yu Gong; Yinghui Xu; Benyou Wang; Peng Zhang 002; Dell Zhang (SIGIR, 2017)

Evaluating Web Search with a Bejeweled Player Model. - Fan Zhang 053; Yiqun Liu 001; Xin Li 016; Min Zhang 006; Yinghui Xu; Shaoping Ma (SIGIR, 2017)

Solving a New 3D Bin Packing Problem with Deep Reinforcement Learning Method. - Haoyuan Hu; Xiaodong Zhang; Xiaowei Yan; Longfei Wang; Yinghui Xu (CoRR, 2017)

Report on the SIGIR 2017 Workshop on eCommerce (ECOM17). - Jon Degenhardt; Surya Kallumadi; Yiu-Chang Lin; Maarten de Rijke; Luo Si; Andrew Trotman; Sindhuja Venkatesh; Yinghui Xu (SIGIR Forum, 2017)

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. - Yujing Hu; Qing Da; Anxiang Zeng; Yang Yu 001; Yinghui Xu (KDD, 2018)

A Multi-task Selected Learning Approach for Solving New Type 3D Bin Packing Problem. - Haoyuan Hu; Lu Duan; Xiaodong Zhang; Yinghui Xu; Jiangwen Wei (CoRR, 2018)

A Novel Bin Design Problem and High Performance Algorithm for E-commerce Logistics System. - Xinhang Zhang; Haoyuan Hu; Longfei Wang; Zhijun Sun; Ying Zhang; Kunpeng Han; Yinghui Xu (CoRR, 2018)

GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming. - Yiheng Zhu 004; Yichen Yao; Zili Wu; Yujie Chen; Guozheng Li; Haoyuan Hu; Yinghui Xu (CoRR, 2018)

Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - Yujie Chen; Yu Qian; Yichen Yao; Zili Wu; Rongqi Li; Yinzhi Zhou; Haoyuan Hu; Yinghui Xu (AAMAS, 2019)

A Multi-task Selected Learning Approach for Solving 3D Flexible Bin Packing Problem. - Lu Duan; Haoyuan Hu; Yu Qian; Yu Gong; Xiaodong Zhang; Jiangwen Wei; Yinghui Xu (AAMAS, 2019)

Multi-agent Path Planning with Non-constant Velocity Motion. - Ngai Meng Kou; Cheng Peng; Xiaowei Yan; Zhiyuan Yang; Heng Liu; Kai Zhou; Haibing Zhao; Lijun Zhu; Yinghui Xu (AAMAS, 2019)

Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance. - Yanhao Zhang 002; Pan Pan; Yun Zheng; Kang Zhao; Jianmin Wu; Yinghui Xu; Rong Jin 001 (CIKM, 2019)

Large-Scale Visual Search with Binary Distributed Graph at Alibaba. - Kang Zhao; Pan Pan; Yun Zheng; Yanhao Zhang 002; Changxu Wang; Yingya Zhang; Yinghui Xu; Rong Jin 001 (CIKM, 2019)

Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-Mile Pickup Stations at Alibaba. - Brian Rongqing Han; Lixia Wu; Tianshu Sun; Leon Yang Chu; Yinghui Xu (ICIS, 2019)

Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System. - Yujie Chen; Yu Qian; Yichen Yao; Zili Wu; Rongqi Li; Yinzhi Zhou; Haoyuan Hu; Yinghui Xu (CoRR, 2019)

Optimal Solution Predictions for Mixed Integer Programs. - Jian-Ya Ding; Chao Zhang; Lei Shen; Shengyin Li; Bing Wang; Yinghui Xu; Le Song (CoRR, 2019)

Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction. - Jian-Ya Ding; Chao Zhang; Lei Shen; Shengyin Li; Bing Wang 017; Yinghui Xu; Le Song (AAAI, 2020)

Learning to Cooperate: Application of Deep Reinforcement Learning for Online AGV Path Finding. - Yi Zhang; Yu Qian; Yichen Yao; Haoyuan Hu; Yinghui Xu (AAMAS, 2020)

LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution Prediction. - Yichen Yao; Guozheng Li; Yujie Chen; Rongqi Li; Yinzhi Zhou; Xiaodong Zhang; Haoyuan Hu; Yinghui Xu (CIKM, 2020)

Large Scale Long-tailed Product Recognition System at Alibaba. - Xiangzeng Zhou; Pan Pan; Yun Zheng; Yinghui Xu; Rong Jin 001 (CIKM, 2020)

Battery Management for Automated Warehouses via Deep Reinforcement Learning. - Yanchen Deng; Bo An 001; Zongmin Qiu; Liuxi Li; Yong Wang; Yinghui Xu (DAI, 2020)

Weakly Supervised Learning with Side Information for Noisy Labeled Images. - Lele Cheng; Xiangzeng Zhou; Liming Zhao; Dangwei Li; Hong Shang; Yun Zheng; Pan Pan; Yinghui Xu (ECCV (30), 2020)

Characteristics of Electricity Consumption of Typical Industrial Loads Based on Power Data Analysis. - Sha Liu; Yining Yang; Yang Xue; Zilong Wang; Heng Yang; Yinghui Xu; Cong Wang; Liu Yang (IWCMC, 2020)

Electric Theft Behavior Detection Method Based on Power Customer Data Analysis. - Yang Xue; Yifei Shu; Heng Yang; Sha Liu; Yinghui Xu (IWCMC, 2020)

Balanced Order Batching with Task-Oriented Graph Clustering. - Lu Duan; Haoyuan Hu; Zili Wu; Guozheng Li; Xinhang Zhang; Yu Gong; Yinghui Xu (KDD, 2020)

Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach. - Lu Duan; Yang Zhan; Haoyuan Hu; Yu Gong; Jiangwen Wei; Xiaodong Zhang; Yinghui Xu (KDD, 2020)

Large-Scale Training System for 100-Million Classification at Alibaba. - Liuyihan Song; Pan Pan; Kang Zhao; Hao Yang; Yiming Chen 003; Yingya Zhang; Yinghui Xu; Rong Jin 001 (KDD, 2020)

Learning a Contextual and Topological Representation of Areas-of-Interest for On-Demand Delivery Application. - Mingxuan Yue; Tianshu Sun; Fan Wu; Lixia Wu; Yinghui Xu; Cyrus Shahabi (ECML/PKDD (4), 2020)

Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation. - Bowen Cai 001; Huan Fu; Rongfei Jia; Binqiang Zhao; Hua Li; Yinghui Xu (AAAI, 2021)

Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination. - Minglong Li; Zhongxuan Cai; Wenjing Yang 002; Lixia Wu; Yinghui Xu; Ji Wang 001 (AAAI, 2021)

Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning. - Yu Liu 063; Lianghua Huang; Pan Pan; Bin Wang; Yinghui Xu; Rong Jin 001 (AAAI, 2021)

Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce. - Yanhao Zhang 002; Qiang Wang 054; Pan Pan; Yun Zheng; Cheng Da; Siyang Sun; Yinghui Xu (AAAI, 2021)

Distribution Adaptive INT8 Quantization for Training CNNs. - Kang Zhao; Sida Huang; Pan Pan; Yinghan Li; Yingya Zhang; Zhenyu Gu; Yinghui Xu (AAAI, 2021)

Learning Position and Target Consistency for Memory-Based Video Object Segmentation. - Li Hu; Peng Zhang 080; Bang Zhang; Pan Pan; Yinghui Xu; Rong Jin 001 (CVPR, 2021)

Self-Supervised Video Representation Learning by Context and Motion Decoupling. - Lianghua Huang; Yu Liu 063; Bin Wang; Pan Pan; Yinghui Xu; Rong Jin 001 (CVPR, 2021)

Communication Efficient SGD via Gradient Sampling With Bayes Prior. - Liuyihan Song; Kang Zhao; Pan Pan; Yu Liu 063; Yingya Zhang; Yinghui Xu; Rong Jin 001 (CVPR, 2021)

Multiple Object Tracking With Correlation Learning. - Qiang Wang 054; Yun Zheng; Pan Pan; Yinghui Xu (CVPR, 2021)

Few-Shot Incremental Learning With Continually Evolved Classifiers. - Chi Zhang 007; Nan Song; Guosheng Lin; Yun Zheng; Pan Pan; Yinghui Xu (CVPR, 2021)

Exploring Visual-Audio Composition Alignment Network for Quality Fashion Retrieval in Video. - Yanhao Zhang 002; Jianmin Wu; Xiong Xiong; Dangwei Li; Chenwei Xie; Yun Zheng; Pan Pan; Yinghui Xu (ICASSP, 2021)

DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. - Kun Yuan 001; Yiming Chen 003; Xinmeng Huang; Yingya Zhang; Pan Pan; Yinghui Xu; Wotao Yin (ICCV, 2021)

Practical Relative Order Attack in Deep Ranking. - Mo Zhou; Le Wang 003; Zhenxing Niu; Qilin Zhang; Yinghui Xu; Nanning Zheng 001; Gang Hua 001 (ICCV, 2021)

SCAT: Stride Consistency with Auto-regressive regressor and Transformer for hand pose estimation. - Daiheng Gao; Bang Zhang; Qi Wang; Xindi Zhang; Pan Pan; Yinghui Xu (ICCVW, 2021)

Package Pick-up Route Prediction via Modeling Couriers' Spatial-Temporal Behaviors. - Haomin Wen; Youfang Lin; Fan Wu; Huaiyu Wan; Shengnan Guo 001; Lixia Wu; Chao Song; Yinghui Xu (ICDE, 2021)

Accelerating Gossip SGD with Periodic Global Averaging. - Yiming Chen 003; Kun Yuan 001; Yingya Zhang; Pan Pan; Yinghui Xu; Wotao Yin (ICML, 2021)

Extremely Compact Non-local Representation Learning. - Ansheng You; Xiangzeng Zhou; Yingya Zhang; Pan Pan; Yinghui Xu (KDD, 2021)

AsyNCE: Disentangling False-Positives for Weakly-Supervised Video Grounding. - Cheng Da; Yanhao Zhang 002; Yun Zheng; Pan Pan; Yinghui Xu; Chunhong Pan (ACM Multimedia, 2021)

Text-driven 3D Avatar Animation with Emotional and Expressive Behaviors. - Li Hu; Jinwei Qi; Bang Zhang; Pan Pan; Yinghui Xu (ACM Multimedia, 2021)

A Virtual Character Generation and Animation System for E-Commerce Live Streaming. - Li Hu; Bang Zhang; Peng Zhang 080; Jinwei Qi; Jian Cao; Daiheng Gao; Haiming Zhao; Xiaoduan Feng; Qi Wang; Lian Zhuo; Pan Pan; Yinghui Xu (ACM Multimedia, 2021)

Once and for All: Self-supervised Multi-modal Co-training on One-billion Videos at Alibaba. - Lianghua Huang; Yu Liu 063; Xiangzeng Zhou; Ansheng You; Ming Li; Bin Wang; Yingya Zhang; Pan Pan; Yinghui Xu (ACM Multimedia, 2021)

VideoDiscovery: An Automatic Short-Video Generation System for E-commerce Live-streaming. - Yanhao Zhang 002; Qiang Wang 054; Yun Zheng; Pan Pan; Yinghui Xu (ACM Multimedia, 2021)

I2PS: An Online Item Intelligent Publishing System in Consumer to Consumer (C2C) Transaction Platform. - Lei Tian; Nanyang Wang; Pan Pan; Bin Wang; Yinghui Xu (WSDM, 2021)

Structure First Detail Next: Image Inpainting with Pyramid Generator. - Shuyi Qu; Zhenxing Niu; Kaizhu Huang; Jianke Zhu; Matan Protter; Gadi Zimerman; Yinghui Xu (CoRR, 2021)

ANN Softmax: Acceleration of Extreme Classification Training. - Kang Zhao; Liuyihan Song; Yingya Zhang; Pan Pan; Yinghui Xu; Rong Jin 001 (Proc. VLDB Endow., 2021)

DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction. - Haomin Wen; Youfang Lin; Huaiyu Wan; Shengnan Guo 001; Fan Wu; Lixia Wu; Chao Song; Yinghui Xu (ACM Trans. Intell. Syst. Technol., 2022)

SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels. - Zhenting Qi; Xiaoyu Tan; Chao Qu; Yinghui Xu; Yuan Qi 001 (ACL (industry), 2023)

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. - Zhenting Qi; Xiaoyu Tan; Shaojie Shi; Chao Qu; Yinghui Xu; Yuan Qi 001 (EMNLP (Industry Track), 2023)

Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. - Xiaoyu Tan; Shaojie Shi; Xihe Qiu; Chao Qu; Zhenting Qi; Yinghui Xu; Yuan Qi 001 (EMNLP (Industry Track), 2023)

Provably Invariant Learning without Domain Information. - Xiaoyu Tan; Lin Yong; Shengyu Zhu 001; Chao Qu; Xihe Qiu; Yinghui Xu; Peng Cui 001; Yuan Qi 001 (ICML, 2023)

FuXi: A cascade machine learning forecasting system for 15-day global weather forecast. - Lei Chen; Xiaohui Zhong; Feng Zhang; Yuan Cheng; Yinghui Xu; Yuan Qi 001; Hao Li 030 (CoRR, 2023)

InfMLLM: A Unified Framework for Visual-Language Tasks. - Qiang Zhou 001; Zhibin Wang 004; Wei Chu; Yinghui Xu; Hao Li 030; Yuan Qi 001 (CoRR, 2023)

Node Fragility Reward Shaping Based on Reinforcement Learning in Intranet Penetration Scenario. - Yinghui Xu; Haonan Tan; Jianyu Deng; Le Wang 008 (DSC, 2024)

Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence. - Xiaoyu Tan; Bin Li 091; Xihe Qiu; Jingjing Huang; Yinghui Xu; Wei Chu (ECAI, 2024)

Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance. - Shenhao Zhu; Junming Leo Chen; Zuozhuo Dai; Zilong Dong; Yinghui Xu; Xun Cao; Yao Yao 008; Hao Zhu 004; Siyu Zhu 001 (ECCV (55), 2024)

ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. - Shaojie Shi; Xiaoyu Tan; Xihe Qiu; Chao Qu; Kexin Nie; Yuan Cheng; Wei Chu; Yinghui Xu; Yuan Qi 001 (EMNLP (Industry Track), 2024)

Research on Intelligent Management and Assisted Decision Making Technology of Electric Power Research Enterprise Based on Knowledge Engineering. - Baoliang Zhang; Yinghui Xu; Chengyuan Li; Yuan Jiang; Wenchao Cui; Hongxu Yue; Chen Hui; Ziwei Hu (ICAIE, 2024)

Hybrid Directional Graph Neural Network for Molecules. - Junyi An; Chao Qu; Zhipeng Zhou; Fenglei Cao; Yinghui Xu; Yuan Qi 001; Furao Shen (ICLR, 2024)

Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. - Xiaoyu Tan; Leijun Cheng; Xihe Qiu; Shaojie Shi; Yuan Cheng; Wei Chu; Yinghui Xu; Yuan Qi 001 (KDD, 2024)

Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. - Xiaoyu Tan; Leijun Cheng; Xihe Qiu; Shaojie Shi; Yuan Cheng; Wei Chu; Yinghui Xu; Yuan Qi 001 (SIGIR, 2024)

Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance. - Shenhao Zhu; Junming Leo Chen; Zuozhuo Dai; Yinghui Xu; Xun Cao; Yao Yao 008; Hao Zhu 004; Siyu Zhu 001 (CoRR, 2024)

AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications. - Xin Pang; Zhucong Li; Jiaxiang Chen; Yuan Cheng; Yinghui Xu; Yuan Qi 001 (CoRR, 2024)

MINDECHO: Role-Playing Language Agents for Key Opinion Leaders. - Rui Xu 026; Dakuan Lu; Xiaoyu Tan; Xintao Wang 001; Siyu Yuan; Jiangjie Chen; Wei Chu; Yinghui Xu (CoRR, 2024)

Struct-X: Enhancing Large Language Models Reasoning with Structured Data. - Xiaoyu Tan; Haoyu Wang 011; Xihe Qiu; Yuan Cheng; Yinghui Xu; Wei Chu; Yuan Qi 001 (CoRR, 2024)

Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. - Xihe Qiu; Haoyu Wang 011; Xiaoyu Tan; Chao Qu; Yujie Xiong; Yuan Cheng; Yinghui Xu; Wei Chu; Yuan Qi 001 (CoRR, 2024)

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though. - Xiaoyu Tan; Yongxin Deng; Xihe Qiu; Weidi Xu; Chao Qu; Wei Chu; Yinghui Xu; Yuan Qi 001 (CoRR, 2024)

Interpreting and Mitigating Hallucination in MLLMs through Multi-agent Debate. - Zheng Lin; Zhenxing Niu; Zhibin Wang; Yinghui Xu (CoRR, 2024)

Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory. - Yongxin Deng; Xihe Qiu; Xiaoyu Tan; Jing Pan; Jue Chen; Zhijun Fang; Yinghui Xu; Wei Chu; Yuan Qi 001 (CoRR, 2024)

LMGT: Optimizing Exploration-Exploitation Balance in Reinforcement Learning through Language Model Guided Trade-offs. - Yongxin Deng; Xihe Qiu; Xiaoyu Tan; Wei Chu; Yinghui Xu (CoRR, 2024)

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. - Siming Huang; Tianhao Cheng; Jason Klein Liu; Jiaran Hao; Liuyihan Song; Yang Xu; J. Yang; J. H. Liu; Chenchen Zhang; Linzheng Chai; Ruifeng Yuan; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

A bioactivity foundation model using pairwise meta-learning. - Bin Feng; Zequn Liu; Nan-Lan Huang; Zhiping Xiao 001; Haomiao Zhang; Srbuhi Mirzoyan; Hanwen Xu; Jiaran Hao; Yinghui Xu; Ming Zhang 004; Sheng Wang 012 (Nat. Mac. Intell., 2024)

A lightweight multi-granularity asymmetric motion mode video frame prediction algorithm. - Jie Yan; Guihe Qin; Minghui Sun; Yanhua Liang; Zhonghan Zhang; Yinghui Xu (Vis. Comput., 2024)

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. - Siming Huang; Tianhao Cheng; Jason Klein Liu; Weidi Xu; Jiaran Hao; Liuyihan Song; Yang Xu; Jian Yang 030; Jiaheng Liu; Chenchen Zhang; Linzheng Chai; Ruifeng Yuan; et al. (ACL (1), 2025)

CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks. - Yongxin Deng; Xihe Qiu; Xiaoyu Tan; Chao Qu; Jing Pan; Yuan Cheng; Yinghui Xu; Wei Chu (ICASSP, 2025)

An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis. - Yingchen Wei; Xihe Qiu; Xiaoyu Tan; Jingjing Huang; Wei Chu; Yinghui Xu; Yuan Qi 001 (ICASSP, 2025)

Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios. - Xiaoyu Tan; Haoyu Wang 011; Xihe Qiu; Leijun Cheng; Yuan Cheng; Wei Chu; Yinghui Xu; Yuan Qi 001 (KDD (1), 2025)

Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement. - Xiaoyu Tan; Bin Li 091; Xihe Qiu; Chao Qu; Wei Chu; Yinghui Xu; Yuan Qi 001 (WWW (Companion Volume), 2025)

SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science Domain. - Dakuan Lu; Xiaoyu Tan; Rui Xu 026; Tianchu Yao; Chao Qu; Wei Chu; Yinghui Xu; Yuan Qi 001 (CoRR, 2025)

AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. - Xiaoyu Tan; Tianchu Yao; Chao Qu; Bin Li 091; Minghao Yang; Dakuan Lu; Haozhe Wang 009; Xihe Qiu; Wei Chu; Yinghui Xu; Yuan Qi 001 (CoRR, 2025)

Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents. - Rui Xu 026; MingYu Wang; Xintao Wang 001; Dakuan Lu; Xiaoyu Tan; Wei Chu; Yinghui Xu (CoRR, 2025)

AI2Agent: An End-to-End Framework for Deploying AI Projects as Autonomous Agents. - Jiaxiang Chen; Jingwei Shi; Lei Gan; Jiale Zhang; Qingyu Zhang; Dongqian Zhang; Xin Pang; Zhucong Li; Yinghui Xu (CoRR, 2025)

SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection. - Jiale Zhang; Jiaxiang Chen; Zhucong Li; Jie Ding; Kui Zhao; Zenglin Xu; Xin Pang; Yinghui Xu (CoRR, 2025)

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling. - Zeyu Huang; Tianhao Cheng; Zihan Qiu; Zili Wang; Yinghui Xu; Edoardo M. Ponti; Ivan Titov 001 (CoRR, 2025)