Yuxuan Gu
18 papers · 2022–2026 · 4 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🌈 Renaissance Researcher (6)
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Interdisciplinary Bridge
🧭
Keyword Pioneer
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Dynamic Duo
(13)
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Prolific Year
(7)
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Keyword Collector
(92)
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Century Club
(15)
Conferences
ACL (12)
EMNLP (4)
CVPR (1)
NIPS (1)
Top co-authors
Keywords
large language model
(7)
distributional perspective
(2)
retrieval-augmented generation
(2)
controllable text generation
(2)
hallucination mitigation
(2)
text generation
(2)
vision-language model
(2)
mathematical reasoning
(1)
visual question answering
(1)
image restoration
(1)
question answering
(1)
factual accuracy
(1)
language modeling
(1)
code generation
(1)
knowledge distillation
(1)
information bottleneck
(1)
multimodal interaction
(1)
instruction following
(1)
importance sampling
(1)
attention mechanism
(1)
Papers
TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models
ACL 2026
MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents
ACL 2026
Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play
ACL 2026
Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning
ACL 2025
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
ACL 2025
Length Controlled Generation for Black-box LLMs
ACL 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
ACL 2025
Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration
CVPR 2025
Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering
EMNLP 2025
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
EMNLP 2025
Discrete Modeling via Boundary Conditional Diffusion Processes
NIPS 2024
Learning Fine-Grained Grounded Citations for Attributed Large Language Models
ACL 2024
Extending Context Window of Large Language Models from a Distributional Perspective
EMNLP 2024
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation
ACL 2024
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
ACL 2024
Controllable Text Generation via Probability Density Estimation in the Latent Space
ACL 2023
A Distributional Lens for Multi-Aspect Controllable Text Generation
EMNLP 2022
Improving Controllable Text Generation with Position-Aware Weighted Decoding
ACL 2022