Jie Fu

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models ACL 2025 Efficient Domain Continual pretraining by Mitigating the Stability Gap ACL 2025 PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment ACL 2025 Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking ACL 2025 Enhancing Language Model Hypernetworks with Restart: A Study on Optimization NAACL 2025 COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning NAACL 2025 A Closer Look into Mixture-of-Experts in Large Language Models NAACL 2025 PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs ICML 2025 Layerwise Recurrent Router for Mixture-of-Experts ICLR 2025 MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation ICLR 2025 Huatuo-26M, a Large-scale Chinese Medical QA Dataset NAACL 2025 Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization AAAI 2025 Sequential Decision Making in Stochastic Games with Incomplete Preferences over Temporal Objectives AAAI 2025 VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text ICLR 2025 MuPT: A Generative Symbolic Music Pretrained Transformer ICLR 2025 Fine-Grained Manipulation of Arithmetic Neurons EMNLP 2025 MIO: A Foundation Model on Multimodal Tokens EMNLP 2025 Information-Theoretic Opacity-Enforcement in Markov Decision Processes IJCAI 2024 Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training NIPS 2024 D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models NIPS 2024 Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers AAAI 2024 AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling ACL 2024 HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts ACL 2024 E2-LLM: Efficient and Extreme Length Extension of Large Language Models ACL 2024 ChatMusician: Understanding and Generating Music Intrinsically with LLM ACL 2024 CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models ACL 2024 SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval ACL 2024 OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement ACL 2024 RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models ACL 2024 CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation COLING 2024 UniIR: Training and Benchmarking Universal Multimodal Information Retrievers ECCV 2024 LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing EMNLP 2024 Unlocking Continual Learning Abilities in Language Models EMNLP 2024 PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness EMNLP 2024 MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training ICLR 2024 Massive Editing for Large Language Models via Meta Learning ICLR 2024 Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs ICLR 2024 ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate ICLR 2024 Think Before You Act: Decision Transformers with Working Memory ICML 2024 AutoAgents: A Framework for Automatic Agent Generation IJCAI 2024 Unlocking Emergent Modularity in Large Language Models NAACL 2024 Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning NAACL 2024 Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives IJCAI 2023 MARBLE: Music Audio Representation Benchmark for Universal Evaluation NIPS 2023 Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias NIPS 2023 GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning NIPS 2023 Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models EMNLP 2023 Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation EMNLP 2023 Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning EMNLP 2023 When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability NIPS 2023 Text Editing as Imitation Game EMNLP 2022 1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data EMNLP 2022 1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector EMNLP 2022 Bidirectional Learning for Offline Infinite-width Model-based Optimization NIPS 2022 Unifying Likelihood-free Inference with Black-box Optimization and Beyond ICLR 2022 HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models AACL 2022 Biological Sequence Design with GFlowNets ICML 2022 Learning Multi-Objective Curricula for Robotic Policy Learning CORL 2022 Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition EMNLP 2022 FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters ICCV 2021 On Orthogonality Constraints for Transformers ACL 2021 GLGE: A New General Language Generation Evaluation Benchmark ACL 2021 On Orthogonality Constraints for Transformers IJCNLP 2021 CoCon: A Self-Supervised Approach for Controlled Text Generation ICLR 2021 Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters ICLR 2021 GLGE: A New General Language Generation Evaluation Benchmark IJCNLP 2021 Jacobian Adversarially Regularized Networks for Robustness ICLR 2020 Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space EMNLP 2020 Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation EMNLP 2020 Synthesis of Deceptive Strategies in Reachability Games with Action Misperception IJCAI 2020 Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation IJCAI 2020 RikiNet: Reading Wikipedia Pages for Natural Question Answering ACL 2020 Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences ACL 2020 Interactive Machine Comprehension with Information Seeking Agents ACL 2020 Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning AAAI 2020 Graph Neural Networks with Generated Parameters for Relation Extraction ACL 2019 Interactive Language Learning by Question Answering IJCNLP 2019 Learning Multi-Task Communication with Message Passing for Sequence Learning AAAI 2019 Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives ACL 2019 TIGS: An Inference Algorithm for Text Infilling with Gradient Search ACL 2019 Interactive Language Learning by Question Answering EMNLP 2019 Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks ACL 2019 Structure Learning for Neural Module Networks EMNLP 2019 DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks IJCAI 2016 Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014