Chenchen Zhang
9 papers · 2024–2026 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Interdisciplinary Bridge π Cross-Pollinator (13)
πΊοΈ
Taxonomy Completionist
(18)
π₯
Mega-Team
(26)
Conferences
ACL (6)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
large language model
(6)
supervised fine-tuning
(2)
continual pre-training
(2)
domain adaptation
(2)
reinforcement learning
(2)
knowledge distillation
(1)
code generation
(1)
efficient computing
(1)
model training
(1)
synthetic datum
(1)
foundation model
(1)
scaling law
(1)
next-token prediction
(1)
multimodal large language model
(1)
context length
(1)
automated theorem proving
(1)
length extrapolation
(1)
downstream performance
(1)
mixture ratio
(1)
cross-domain generalization
(1)
Papers
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
ACL 2026
ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding
ACL 2026
Reinforcement Learning on Pre-Training Data
ACL 2026
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
ACL 2025
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models
ICLR 2025
DDK: Distilling Domain Knowledge for Efficient Large Language Models
NIPS 2024
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models
ACL 2024
E2-LLM: Efficient and Extreme Length Extension of Large Language Models
ACL 2024
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
NIPS 2024