Jie Fu

85 papers · 2014–2025 · 15 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (11) 🏃 Academic Marathon (11) 🗺️ Taxonomy Completionist (17) 🏠 Conference Loyalist (21) 🏆 Grand Slam 👑 Triple Crown 👥 Mega-Team (40) 🤝 Dynamic Duo (21) 🗃️ Keyword Collector (326) ❓ The Questioner (3) ⚡ Prolific Year (25) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (85) 🔥 Unstoppable (7)

Conferences

ACL (21) EMNLP (16) ICLR (12) NIPS (7) IJCAI (6) NAACL (6) AAAI (5) ICML (3) IJCNLP (3) AACL (1) COLING (1) CORL (1) ECCV (1) ICCV (1) RSS (1)

Top co-authors

Ge Zhang (21) Wenhao Huang (11) Jiancheng Lv (9) Chenghua Lin (9) Yi Tay (8) Yizhi Li (8) Dayiheng Liu (8) Ruibin Yuan (7) Yoshua Bengio (7) Jiaheng Liu (7)

Research topics

Keywords

large language model (15) text generation (5) question answering (4) instruction tuning (4) machine reading comprehension (4) graph neural network (4) zero-shot learning (3) reinforcement learning (3) text classification (3) temporal logic (3) transfer learning (3) knowledge distillation (3) interactive learning (3) markov decision process (3) transformer architecture (2) data augmentation (2) unsupervised learning (2) machine translation (2) gradient-based optimization (2) deep reinforcement learning (2)

Papers

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