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20242026
most citedUnderstanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise

2 citations · 2 across the 7 of their papers we have counts for

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cs.CL2026

JevGPT: Thinking Fast and Slow in Autonomous Research

Yasheng Sun, Yanning Dai, Yimeng Chen +9

Autonomous research agents must acquire and reason over evidence within a limited budget. Yet relevant sources can remain uninspected or unused, leaving a gap between retrieval cov…

cs.AI2026

History Replays Itself: Unleashing Long-Context Capability in Linear Attention

Li Nanbo, Firas Laakom, Yilan Zhang +10

Linear attention promises the efficiency needed for long-context language modelling, yet its fixed-size recurrent state must simultaneously support ongoing computation and preserve…

econ.TH2026

Market Design for AI: Beyond the Copyright Binary

Yan Dai, Maryam Farboodi, Negin Golrezaei +1

How can we design a market of human-generated content for use in training AI models that both enables technological progress and preserves individual incentives for high-quality co…

cs.LG2026

Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization

Yanning Dai, Yuhui Wang, Dylan R. Ashley +1

Morphology-control co-design concerns the coupled optimization of an agent's body structure and control policy. This problem exhibits a bi-level structure, where the control dynami…

cs.LG2026

A Unified Framework for Rethinking Policy Divergence Measures in GRPO

Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan +6

Reinforcement Learning with Verified Reward (RLVR) has emerged as a critical paradigm for advancing the reasoning capabilities of Large Language Models (LLMs). Most existing RLVR m…