Anningzhe Gao
13 papers · 2024–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Bronze 🗃️ Keyword Collector (65) 🌈 Renaissance Researcher (6)
⚡
Prolific Year · Prolific
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Core AI
(8)
Learning Types · Machine Learning
(7)
Deep Learning
(4)
Learning Types · Deep Learning
(3)
Models
(3)
Optimization & Theory
(3)
Healthcare & Medicine
(2)
Natural Language Processing
(2)
Application Areas
(2)
Clinical
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Keywords
large language model
(6)
reinforcement learning
(3)
benchmark evaluation
(2)
preference learning
(2)
multimodal large language model
(2)
domain adaptation
(2)
transfer learning
(1)
reward modeling
(1)
zero-shot learning
(1)
language model alignment
(1)
direct preference optimization
(1)
self-supervised learning
(1)
medical imaging
(1)
knowledge distillation
(1)
optimal transport
(1)
incremental learning
(1)
multimodal learning
(1)
prompt engineering
(1)
in-context learning
(1)
visual question answering
(1)
Papers
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
EMNLP 2025
Aligning Language Models Using Follow-up Likelihood as Reward Signal
AAAI 2025
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport
EMNLP 2025
Atoxia: Red-teaming Large Language Models with Target Toxic Answers
NAACL 2025
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
ACL 2025
DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization
EMNLP 2025
Huatuo-26M, a Large-scale Chinese Medical QA Dataset
NAACL 2025
LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages
NAACL 2025
MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria
NAACL 2025
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs
ACL 2025
Unlocking LLMs’ Self-Improvement Capacity with Autonomous Learning for Domain Adaptation
ACL 2025
OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning
NAACL 2024
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
EMNLP 2024