Bolin Ding

Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory ACL 2026 d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models ACL 2026 HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks CVPR 2026 Incentivizing Strong Reasoning from Weak Supervision EACL 2026 Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation EACL 2026 Retrieval Heads are Dynamic ACL 2026 Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective EMNLP 2025 Agent-Oriented Planning in Multi-Agent Systems ICLR 2025 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization ICML 2025 Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development ICML 2025 Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists ACL 2025 GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025 Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models CVPR 2025 Language Adaptation of Large Language Models: An Empirical Study on LLaMA2 COLING 2025 Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML 2025 Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response ICML 2025 LLM-Based Multi-Agent Systems are Scalable Graph Generative Models ACL 2025 Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning CVPR 2025 ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models ACL 2025 Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization ICLR 2025 What is Wrong with Perplexity for Long-context Language Modeling? ICLR 2025 β-DPO: Direct Preference Optimization with Dynamic β NeurIPS 2024 Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games ICML 2024 CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting ICLR 2024 Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study COLING 2024 EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism ICML 2024 Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes ICML 2024 Improving LoRA in Privacy-preserving Federated Learning ICLR 2024 When to Trust LLMs: Aligning Confidence with Response Quality ACL 2024 Efficient Personalized Federated Learning via Sparse Model-Adaptation ICML 2023 FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization ICML 2023 Learned Index with Dynamic ε ICLR 2023 Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023 EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NeurIPS 2022 iFlood: A Stable and Effective Regularizer ICLR 2022 pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NeurIPS 2022 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NeurIPS 2022 Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation EMNLP 2021 AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020 Automated Relational Meta-learning ICLR 2020 Intent Preference Decoupling for User Representation on Online Recommender System IJCAI 2020 Learning to Mutate with Hypergradient Guided Population NeurIPS 2020 Scalable Graph Neural Networks via Bidirectional Propagation NeurIPS 2020 Simple and Deep Graph Convolutional Networks ICML 2020 An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors NeurIPS 2019 Efficient Identification of Approximate Best Configuration of Training in Large Datasets AAAI 2019 Collecting Telemetry Data Privately NeurIPS 2017