Ling Feng
8 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (30) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
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Renaissance Researcher
(5)
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Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Deep Learning
(4)
Natural Language Processing
(4)
Applications
(4)
Core AI
(4)
Application Areas
(3)
Learning Types
(3)
Reinforcement Learning
(2)
Learning Paradigms
(2)
Methods
(2)
Resources & Methods
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Architectures
(1)
Keywords
large language model
(3)
question answering
(2)
text classification
(2)
supervised fine-tuning
(2)
reinforcement learning
(2)
attention mechanism
(1)
self-supervised learning
(1)
sentiment analysis
(1)
knowledge base
(1)
expected calibration error
(1)
distribution shift
(1)
knowledge graph
(1)
reward model
(1)
low-resource learning
(1)
temperature scaling
(1)
inference efficiency
(1)
hallucination mitigation
(1)
long context
(1)
social media analysis
(1)
direct preference optimization
(1)
Papers
Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
ACL 2026
AdaptThink: Reasoning Models Can Learn When to Think
EMNLP 2025
AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization
ICML 2025
LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-Context QA
ACL 2025
LongReward: Improving Long-context Large Language Models with AI Feedback
ACL 2025
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
EMNLP 2024
Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification
AAAI 2023
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
EMNLP 2019