Yixia Li
12 papers · 2024–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (25) π Cross-Pollinator (11)
π
Renaissance Researcher
(5)
β‘
Prolific Year
(5)
Conferences
ACL (8)
NAACL (2)
EMNLP (1)
NIPS (1)
Top co-authors
Keywords
large language model
(6)
instruction tuning
(2)
model compression
(2)
reinforcement learning
(2)
language model
(2)
singular value decomposition
(2)
computer vision
(1)
text generation
(1)
policy optimization
(1)
chain-of-thought reasoning
(1)
in-context learning
(1)
vision-language alignment
(1)
instruction following
(1)
model merging
(1)
few-shot learning
(1)
low-rank approximation
(1)
data augmentation
(1)
synthetic data generation
(1)
sparse optimization
(1)
sparse representation
(1)
Papers
Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents
ACL 2026
No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning
ACL 2026
SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks
ACL 2026
From Word to World: Can Large Language Models be Implicit Text-based World Models?
ACL 2026
VFA: Empowering Multilingual MLLMs via Vision-Free Adaptation
ACL 2026
LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy
NAACL 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ACL 2025
FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only
ACL 2025
G2: Guided Generation for Enhanced Output Diversity in LLMs
EMNLP 2025
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
NAACL 2025
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
NIPS 2024
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
ACL 2024