Yao Liu
38 papers · 2016–2026 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 16 separate collaboration groups - the largest holds only 34% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yao Liu?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Emma Brunskill, Rasool Fakoor, Omer Gottesman
13 papers
· 2018–2025
· ICML, NeurIPS, ICLR
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AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents
ICLR 2025
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
CoRL 2024
Learning the Target Network in Function Space
ICML 2024
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
ICLR 2024
Budgeting Counterfactual for Offline RL
NeurIPS 2023
TD Convergence: An Optimization Perspective
NeurIPS 2023
Offline policy optimization with eligible actions
UAI 2022
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
ICML 2020
Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration
NeurIPS 2020
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
ICML 2020
Combining parametric and nonparametric models for off-policy evaluation
ICML 2019
Off-Policy Policy Gradient with Stationary Distribution Correction
UAI 2019
Representation Balancing MDPs for Off-policy Policy Evaluation
NeurIPS 2018
9 papers whose co-authors appear nowhere else under this name
ADAngel: Accelerating Arbitrary-Precision Quantized LLMs with Adaptive Computing Mapping
OSDI 2026
Learning to Focus and Precise Cropping:A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs
CVPR 2026
Why Do Emotions Change? Appraisal-Guided Reasoning for Emotion–Cause Triplet Extraction in Conversations
ACL 2026
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
IJCAI 2025
Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models
EMNLP 2025
patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds
AAAI 2024
Provably sample-efficient RL with side information about latent dynamics
NeurIPS 2022
A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA
ACML 2018
A Decision Procedure for a Fragment of Linear Time Mu-Calculus
IJCAI 2016