Shichun Liu
11 papers · 2024–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Cross-Pollinator (15) π Renaissance Researcher (5) π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (18)
π§
Keyword Pioneer
π₯
Mega-Team
(27)
Conferences
ACL (5)
AAAI (2)
EMNLP (2)
ICML (1)
NAACL (1)
Top co-authors
Keywords
large language model
(6)
reward model
(2)
reinforcement learning from human feedback
(2)
sequential decision making
(1)
preference learning
(1)
attention mechanism
(1)
in-context learning
(1)
question answering
(1)
model evaluation
(1)
code generation
(1)
task-oriented dialogue
(1)
question generation
(1)
preference modeling
(1)
language model
(1)
software testing
(1)
clinical evaluation
(1)
data contamination
(1)
multi-domain learning
(1)
human preference
(1)
code generation benchmark
(1)
Papers
MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning
AAAI 2026
OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding
ACL 2026
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
ACL 2026
DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data
ACL 2026
LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation
EMNLP 2025
Multi-Programming Language Sandbox for LLMs
ACL 2025
Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling
ACL 2025
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
ICML 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
EMNLP 2024
LLMEval: A Preliminary Study on How to Evaluate Large Language Models
AAAI 2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models
NAACL 2024