The COUNT: Counting N-grams Unlocks Scaling on Host Memory and Training-Free Adaptation
Paper • 2610.20456 • Published • 7
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IanMagnusson
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rulins
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natolambert
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RewardBench 2: Advancing Reward Model Evaluation
Paper • 2506.01937 • Published • 7
Spurious Rewards: Rethinking Training Signals in RLVR
Paper • 2506.10947 • Published • 2
Generalizing Verifiable Instruction Following
Paper • 2507.02833 • Published • 1
Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI
Paper • 2511.01689 • Published • 5
Olmo 3
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Meta-Reinforcement Learning with Self-Reflection for Agentic Search
Paper • 2603.11327 • Published • 12
Olmo Hybrid: From Theory to Practice and Back
Paper • 2604.03444 • Published
Tmax: A simple recipe for terminal agents
Paper • 2606.23321 • Published • 17
Learning to Solve Hard Problems in RL for LLMs by Never Giving Up
Paper • 2609.13443 • Published • 15
Context Language Models
Paper • 2609.37725 • Published • 36
rulins
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hamishivi
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papers about 2 months ago
Learning to Solve Hard Problems in RL for LLMs by Never Giving Up
Paper • 2609.13443 • Published • 15
Tmax: A simple recipe for terminal agents
Paper • 2606.23321 • Published • 17
Meta-Reinforcement Learning with Self-Reflection for Agentic Search
Paper • 2603.11327 • Published • 12
The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains
Paper • 2507.06187 • Published
Generalizing Verifiable Instruction Following
Paper • 2507.02833 • Published • 1
rulins
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paper 6 months ago