Tianjun Zhang
29 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(31)
π
Conference Polyglot
(6)
π
Academic Marathon
(6)
π€
Dynamic Duo
(11)
π
Triple Crown
π₯
Mega-Team
(22)
π
Keyword Champion
(2)
π
Century Club
(29)
β‘
Prolific Year
(10)
ποΈ
Keyword Collector
(79)
π₯
Unstoppable
(5)
Conferences
ICLR (10)
NIPS (8)
ICML (5)
EMNLP (3)
UAI (2)
WACV (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(4)
large language model
(4)
representation learning
(3)
contrastive learning
(2)
contrastive representation learning
(2)
model-based reinforcement learning
(2)
language model
(2)
sample efficiency
(2)
image generation
(1)
question answering
(1)
offline reinforcement learning
(1)
prompt engineering
(1)
text-to-image generation
(1)
instruction following
(1)
transfer learning
(1)
deep learning
(1)
black-box optimization
(1)
procedural generation
(1)
multitask learning
(1)
model adaptation
(1)
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