Yi R. Fung
19 papers · 2022–2026 · 5 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
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (51) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (91) 🌈 Renaissance Researcher (5)
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Prolific Year · Prolific
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(16)
Core AI
(16)
Machine Learning
(11)
Natural Language Processing
(11)
Deep Learning
(8)
Learning Types · Machine Learning
(7)
Resources & Methods
(7)
Learning Types · Deep Learning
(6)
Computer Vision
(3)
Application Areas
(3)
Applications
(3)
Optimization & Theory · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Models
(2)
Healthcare & Medicine
(1)
Keywords
large language model
(6)
vision-language model
(3)
benchmark evaluation
(3)
text generation
(2)
knowledge overshadowing
(2)
log-linear law
(2)
knowledge boundary
(2)
multimodal large language model
(2)
decoding strategy
(2)
retrieval-augmented generation
(2)
language model
(2)
multimodal learning
(2)
direct preference optimization
(2)
visual reasoning
(2)
reinforcement learning
(2)
hallucination mitigation
(2)
question answering
(2)
supervised fine-tuning
(2)
confidence calibration
(1)
factual knowledge
(1)
Papers
CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation
ACL 2026
CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents
ACL 2026
Learning Diverse Responses with Prefix-Conditioned Supervised Fine-Tuning
ACL 2026
Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models
ACL 2026
Aligning LLMs with Individual Preferences via Interaction
COLING 2025
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering
NAACL 2025
End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation
EMNLP 2025
Let’s Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM’s Math Capability
EMNLP 2025
MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness
EMNLP 2025
MedEBench: Diagnosing Reliability in Text-Guided Medical Image Editing
EMNLP 2025
MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration
ACL 2025
Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks
ACL 2025
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models
ACL 2025
The Law of Knowledge Overshadowing: Towards Understanding, Predicting and Preventing LLM Hallucination
ACL 2025
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
ACL 2025
Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward
ACL 2025
VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues
ACL 2025
ADEPT: A DEbiasing PrompT Framework
AAAI 2023
A Zero-Shot Claim Detection Framework Using Question Answering
COLING 2022