Tianjun Zhang
31 papers · 2019–2026 · 8 venues · across top CS/AI venues
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πΊοΈ Taxonomy Completionist (49) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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(12)
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(2)
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Topic Evolution
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Triple Crown
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Prolific Year Β· Prolific
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Keyword Collector
(141)
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Research topics
Artificial Intelligence
(21)
Core AI
(19)
Machine Learning
(18)
Natural Language Processing
(11)
Learning Types Β· Machine Learning
(10)
Deep Learning
(7)
Reinforcement Learning
(7)
Learning Types Β· Deep Learning
(6)
Resources & Methods
(6)
Learning Paradigms
(5)
Methods
(5)
Optimization & Theory
(5)
Core Methods
(4)
Application Areas
(3)
Applications
(3)
Keywords
large language model
(8)
reinforcement learning
(7)
representation learning
(4)
model-based reinforcement learning
(3)
sample efficiency
(3)
contrastive learning
(2)
instruction following
(2)
upper confidence bound
(2)
language model
(2)
offline reinforcement learning
(2)
value function
(2)
prompt engineering
(2)
code generation
(2)
contrastive representation learning
(2)
path planning
(1)
robotic manipulation
(1)
imitation learning
(1)
image generation
(1)
zero-shot learning
(1)
3d reconstruction
(1)
Papers
Agentix: An Efficient Serving Engine for LLM Agents as General Programs
NSDI 2026
TALO: Pushing 3D Vision Foundation Models Towards Globally Consistent Online Reconstruction
CVPR 2026
Copilot Arena: A Platform for Code LLM Evaluation in the Wild
ICML 2025
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
ICLR 2025
SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
ICLR 2025
AgentBench: Evaluating LLMs as Agents
ICLR 2024
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
NeurIPS 2024
Gorilla: Large Language Model Connected with Massive APIs
NeurIPS 2024
In-Context Principle Learning from Mistakes
ICML 2024
Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training
EMNLP 2024
LLM-Assisted Code Cleaning For Training Accurate Code Generators
ICLR 2024
LLoCO: Learning Long Contexts Offline
EMNLP 2024
Multitask Vision-Language Prompt Tuning
WACV 2024
R2E: Turning any Github Repository into a Programming Agent Environment
ICML 2024
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
NeurIPS 2024
Efficient Planning in a Compact Latent Action Space
ICLR 2023
Energy-based Predictive Representations for Partially Observed Reinforcement Learning
UAI 2023
Latent Variable Representation for Reinforcement Learning
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
A free lunch from the noise: Provable and practical exploration for representation learning
UAI 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
NeurIPS 2022
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
ICLR 2022
Making Linear MDPs Practical via Contrastive Representation Learning
ICML 2022
Multi-objective Optimization by Learning Space Partition
ICLR 2022
Contrastive Code Representation Learning
EMNLP 2021
Learning Space Partitions for Path Planning
NeurIPS 2021
MADE: Exploration via Maximizing Deviation from Explored Regions
NeurIPS 2021
NovelD: A Simple yet Effective Exploration Criterion
NeurIPS 2021
ANODEV2: A Coupled Neural ODE Framework
NeurIPS 2019