Zhaolin Gao

3 papers · 2020–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13)

Venues

CVPR (1) ICLR (1) NeurIPS (1)

Top co-authors

Jason D. Lee (2) Wenhao Zhan (2) Wen Sun (2) Kianté Brantley (2) Gokul Swamy (2) J. Andrew Bagnell (1) Owen Oertell (1) Jonathan Daniel Chang (1) Wanyu Lin (1) Jonathan D. Chang (1)

Research topics

Deep Learning (2) Machine Learning (2) Natural Language Processing (2) Generation (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Reinforcement Learning (1) Core Methods (1) Methods (1) Models (1)

Keywords

policy optimization (2) metric learning (1) semi-supervised learning (1) few-shot learning (1) image generation (1) preference learning (1) natural policy gradient (1) language modeling (1) reinforcement learning from human feedback (1) graph embedding (1) generative model (1) language model (1) node classification (1) relative reward (1) preference-based learning (1) multi-turn dialogue (1) large language model (1) reinforcement learning (1) graph neural network (1)

Papers

Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF ICLR 2025 REBEL: Reinforcement Learning via Regressing Relative Rewards NeurIPS 2024 Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data CVPR 2020