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long-horizon reasoning

topic3 events
papersTODAY 04:00 UTC

Stellar Colosseum: a multi-agent harness for long-horizon math and TCS research

Researchers posted an arXiv preprint describing Stellar Colosseum, a model-agnostic framework that coordinates multiple language-model agents on extended research problems in mathematics and theoretical computer science. The authors argue that while models can generate convincing short proofs, they remain unreliable when progress requires many uncertain, interdependent decisions in sequence. The harness is presented as a way to structure such long-horizon work rather than a single model release.

agents/research/reasoning/arxiv
papersTODAY 04:00 UTC

REGEN paper proposes replay-recycling for expert-to-generalist LLM distillation via offline RL

A revised arXiv paper introduces REGEN, a method that recycles replay data to distill specialized expert policies into a more general model using offline reinforcement learning. The approach targets the cost of scaling online RL, which is widely used to develop long-horizon reasoning and tool-use abilities in large language models. The v3 revision appears in both the cs.AI and cs.LG listings.

rl/distillation/llm-training/research
papersTODAY 04:00 UTC

MetaTool-Enhanced ROS Framework Targets Long-Horizon Instability in Open-Source LLM Agents

A new arXiv paper addresses the tendency of open-source large language models to reason inconsistently and act inefficiently over long tasks when used inside agentic robotics stacks. The authors propose pairing a MetaTool component with the Robot Operating System so that LLM-driven agents can sustain coherent planning and execute actions more reliably. The work focuses on human-robot interaction settings where such instability has limited practical deployment.

agents/open-source/robotics/llm-agents