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Tianjun Zhang

29 papers · 2019–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)
πŸ—ΊοΈ Taxonomy Completionist (31) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (6) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (22) πŸ† Keyword Champion (2) πŸ’Ž Century Club (29) ⚑ Prolific Year (10) πŸ—ƒοΈ Keyword Collector (79) πŸ”₯ Unstoppable (5)

Conferences

ICLR (10) NIPS (8) ICML (5) EMNLP (3) UAI (2) WACV (1)

Research topics

Papers

SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction ICLR 2025 LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code ICLR 2025 Copilot Arena: A Platform for Code LLM Evaluation in the Wild ICML 2025 R2E: Turning any Github Repository into a Programming Agent Environment ICML 2024 Recursive Introspection: Teaching Language Model Agents How to Self-Improve NIPS 2024 Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models NIPS 2024 Gorilla: Large Language Model Connected with Massive APIs NIPS 2024 LLoCO: Learning Long Contexts Offline EMNLP 2024 Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training EMNLP 2024 Multitask Vision-Language Prompt Tuning WACV 2024 LLM-Assisted Code Cleaning For Training Accurate Code Generators ICLR 2024 AgentBench: Evaluating LLMs as Agents ICLR 2024 In-Context Principle Learning from Mistakes ICML 2024 Latent Variable Representation for Reinforcement Learning ICLR 2023 Efficient Planning in a Compact Latent Action Space ICLR 2023 Spectral Decomposition Representation for Reinforcement Learning ICLR 2023 TEMPERA: Test-Time Prompt Editing via Reinforcement Learning ICLR 2023 The Wisdom of Hindsight Makes Language Models Better Instruction Followers ICML 2023 Energy-based Predictive Representations for Partially Observed Reinforcement Learning UAI 2023 Multi-objective Optimization by Learning Space Partition ICLR 2022 Making Linear MDPs Practical via Contrastive Representation Learning ICML 2022 Contrastive Learning as Goal-Conditioned Reinforcement Learning NIPS 2022 A free lunch from the noise: Provable and practical exploration for representation learning UAI 2022 C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks ICLR 2022 NovelD: A Simple yet Effective Exploration Criterion NIPS 2021 Contrastive Code Representation Learning EMNLP 2021 MADE: Exploration via Maximizing Deviation from Explored Regions NIPS 2021 Learning Space Partitions for Path Planning NIPS 2021 ANODEV2: A Coupled Neural ODE Framework NIPS 2019