Yihao Feng
24 papers · 2019–2025 · 8 venues · across top CS/AI venues
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Machine Learning
(18)
Artificial Intelligence
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Core AI
(12)
Optimization & Theory
(10)
Learning Types Β· Machine Learning
(8)
Reinforcement Learning
(7)
Deep Learning
(6)
Natural Language Processing
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Methods
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Keywords
off-policy evaluation
(3)
reinforcement learning
(3)
policy learning
(2)
confidence interval
(2)
agent system
(2)
language model
(2)
model-based reinforcement learning
(2)
unsupervised learning
(2)
autonomous agent
(2)
offline reinforcement learning
(2)
preference optimization
(2)
policy optimization
(2)
kernel bellman loss
(2)
large language model
(2)
diffusion model
(2)
text generation
(2)
controllable generation
(2)
domain adaptation
(1)
domain generalization
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metric learning
(1)
Papers
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward
NAACL 2025
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
ICLR 2025
Longhorn: State Space Models are Amortized Online Learners
ICLR 2025
Structured Policy Optimization: Enhance Large Vision-Language Model via Self-referenced Dialogue
ICCV 2025
Text2Data: Low-Resource Data Generation with Textual Control
AAAI 2025
xLAM: A Family of Large Action Models to Empower AI Agent Systems
NAACL 2025
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
NeurIPS 2024
FOFO: A Benchmark to Evaluate LLMsβ Format-Following Capability
ACL 2024
HIVE: Harnessing Human Feedback for Instructional Visual Editing
CVPR 2024
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
ICLR 2024
FAMO: Fast Adaptive Multitask Optimization
NeurIPS 2023
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
ICLR 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
NeurIPS 2023
Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning
AAAI 2023
Preference-grounded Token-level Guidance for Language Model Fine-tuning
NeurIPS 2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
NeurIPS 2023
A Unified Framework for Alternating Offline Model Training and Policy Learning
NeurIPS 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
ICML 2022
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
NAACL 2021
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
ICLR 2021
Unsupervised Out-of-Domain Detection via Pre-trained Transformers
ACL 2021
Accountable Off-Policy Evaluation With Kernel Bellman Statistics
ICML 2020
Off-Policy Interval Estimation with Lipschitz Value Iteration
NeurIPS 2020
A Kernel Loss for Solving the Bellman Equation
NeurIPS 2019