Shilong Li
14 papers · 2023–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)
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Interdisciplinary Bridge
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Keyword Collector
(64)
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Prolific Year
(9)
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Conference Pioneer
💎
Century Club
(14)
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The Questioner
Conferences
ACL (4)
EMNLP (4)
NAACL (4)
AAAI (1)
MICCAI (1)
Top co-authors
Keywords
large language model
(7)
relation extraction
(2)
few-shot learning
(2)
chinese language
(2)
domain adaptation
(2)
question answering
(2)
direct preference optimization
(2)
instruction following
(2)
factuality evaluation
(2)
benchmark evaluation
(2)
object recognition
(1)
reward modeling
(1)
chain-of-thought reasoning
(1)
prompt learning
(1)
in-context learning
(1)
fine-grained classification
(1)
preference learning
(1)
preference optimization
(1)
cross-domain learning
(1)
visual question answering
(1)
Papers
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision
NAACL 2025
MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training
ACL 2025
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
ACL 2025
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models
ACL 2025
See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models
ACL 2025
AIR: Complex Instruction Generation via Automatic Iterative Refinement
EMNLP 2025
Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation
EMNLP 2025
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models
NAACL 2025
BotSim: LLM-Powered Malicious Social Botnet Simulation
AAAI 2025
Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos
MICCAI 2024
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
EMNLP 2024
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning
NAACL 2024
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction
NAACL 2024
Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction
EMNLP 2023