Haibo Shi
6 papers · 2024–2026 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
Top co-authors
Research topics
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Learning Types · Deep Learning
(4)
Natural Language Processing
(3)
Machine Learning
(2)
Applications
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Application Areas
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Resources & Methods
(1)
Keywords
question answering
(2)
large language model
(2)
transfer learning
(1)
knowledge distillation
(1)
knowledge editing
(1)
adversarial training
(1)
document retrieval
(1)
ensemble method
(1)
language model
(1)
supervised fine-tuning
(1)
hallucination mitigation
(1)
multi-agent cooperation
(1)
cooperative agent
(1)
pre-trained language model
(1)
tool selection
(1)
retrieval-augmented generation
(1)
hallucination reduction
(1)
knowledge-intensive task
(1)
tool execution
(1)
agent system
(1)
Papers
Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models
ACL 2026
FinEval-KR: A Financial Domain Evaluation Framework for Large Language Models’ Knowledge and Reasoning
EMNLP 2025
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
EMNLP 2024
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation
EMNLP 2024
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
EMNLP 2024
Learning to Use Tools via Cooperative and Interactive Agents
EMNLP 2024