Zifeng Wang

SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback EACL 2026 When One LLM Drools, Multi-LLM Collaboration Rules ACL 2026 In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents ACL 2025 Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation ACL 2025 Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence ICML 2025 OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities ICLR 2025 PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving EMNLP 2025 Reverse Thinking Makes LLMs Stronger Reasoners NAACL 2025 s3: You Don’t Need That Much Data to Train a Search Agent via RL EMNLP 2025 Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling ICLR 2025 Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting ICLR 2025 STAR: Stability-Inducing Weight Perturbation for Continual Learning ICLR 2025 BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs ICLR 2024 CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation ACL 2024 Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding ICLR 2024 CodecLM: Aligning Language Models with Tailored Synthetic Data NAACL 2024 Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization ACL 2024 GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models NAACL 2024 LMDX: Language Model-based Document Information Extraction and Localization ACL 2024 MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement IJCAI 2024 MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models ACL 2024 PILOT: Legal Case Outcome Prediction with Case Law NAACL 2024 TableRAG: Million-Token Table Understanding with Language Models NeurIPS 2024 TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale NAACL 2024 AutoTrial: Prompting Language Models for Clinical Trial Design EMNLP 2023 DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning ICML 2023 QueryForm: A Simple Zero-shot Form Entity Query Framework ACL 2023 DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning ECCV 2022 Finding Influential Instances for Distantly Supervised Relation Extraction COLING 2022 Learning To Prompt for Continual Learning CVPR 2022 MedCLIP: Contrastive Learning from Unpaired Medical Images and Text EMNLP 2022 PAC-Bayes Information Bottleneck ICLR 2022 PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning EMNLP 2022 SparCL: Sparse Continual Learning on the Edge NeurIPS 2022 TransTab: Learning Transferable Tabular Transformers Across Tables NeurIPS 2022 Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision EMNLP 2022 Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness NeurIPS 2021 Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback NeurIPS 2020 Instance-wise Feature Grouping NeurIPS 2020 Less Is Better: Unweighted Data Subsampling via Influence Function AAAI 2020 Collaborative Deep Reinforcement Learning for Multi-Object Tracking ECCV 2018