Papers4

All Beginner Intermediate Advanced

All Sources arXiv

#test-time compute

Reasoning Models Struggle to Control their Chains of Thought

Beginner

Chen Yueh-Han, Robert McCarthy et al.Mar 5arXiv

The paper studies whether AI models can hide or reshape their step-by-step thoughts (chains of thought) on command.

#chain-of-thought#controllability#monitorability

Not triaged yet

KARL: Knowledge Agents via Reinforcement Learning

Beginner

Jonathan D. Chang, Andrew Drozdov et al.Mar 5arXiv

KARL is a smart search helper that learns to look up information step by step and explain answers using the facts it finds.

#grounded reasoning#enterprise search#reinforcement learning

Not triaged yet

Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL

Intermediate

Ian Wu, Yuxiao Qu et al.Feb 3arXiv

Reasoning Cache (RC) is a new way for AI to think in steps: it writes some thoughts, makes a short summary, throws away the long thoughts, and then keeps going using only the summary.

#Reasoning Cache#iterative decoding#summary-conditioned reasoning

Not triaged yet

Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge

Intermediate

Yao Tang, Li Dong et al.Jan 13arXiv

The paper introduces Multiplex Thinking, a new way for AI to think by sampling several likely next words at once and blending them into a single super-token.

#Multiplex Thinking#chain-of-thought#continuous token

Not triaged yet