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Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 501 -
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
Paper • 2509.25541 • Published • 140 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 270 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 141
shen
sean29
AI & ML interests
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rl
agent
mllm
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An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 19 -
TextBind: Multi-turn Interleaved Multimodal Instruction-following
Paper • 2309.08637 • Published • 7 -
Improved Baselines with Visual Instruction Tuning
Paper • 2310.03744 • Published • 39 -
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 20
todo
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Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 501 -
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
Paper • 2509.25541 • Published • 140 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 270 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 141
agent
rl
mllm
-
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 19 -
TextBind: Multi-turn Interleaved Multimodal Instruction-following
Paper • 2309.08637 • Published • 7 -
Improved Baselines with Visual Instruction Tuning
Paper • 2310.03744 • Published • 39 -
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 20