Pengcheng Huang
6 papers · 2024–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(22)
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Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(5)
Deep Learning
(4)
Natural Language Processing
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Optimization & Theory · Machine Learning
(2)
Resources & Methods
(2)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Generation
(1)
Keywords
direct preference optimization
(2)
representation learning
(1)
question answering
(1)
information retrieval
(1)
preference optimization
(1)
dense retrieval
(1)
token efficiency
(1)
query expansion
(1)
multi-armed bandit
(1)
semantic embedding
(1)
reward model
(1)
decoding strategy
(1)
retrieval-augmented generation
(1)
knowledge reasoning
(1)
position encoding
(1)
joint optimization
(1)
neural retrieval
(1)
reasoning path
(1)
context compression
(1)
long-context language model
(1)
Papers
Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
ACL 2026
Empirical Analysis of Decoding Biases in Masked Diffusion Models
ACL 2026
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
EMNLP 2025
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
EMNLP 2025
Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models
EMNLP 2025
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models
EMNLP 2024