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LLMs & Foundation Models· 2026-10-15#Inverse Reasoning#Self-Distillation#Post-Training#LLMs & Foundation Models#Reasoning
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A new study published on arXiv introduces a self-distillation technique using inverse reas…
LLMs & Foundation Models· 2026-10-15
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A new arXiv study examines the limitations of the Bradley-Terry model in Chatbot Arena, wh…
LLMs & Foundation Models· 2026-10-15
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arXiv has released a study on the application of pre-trained language models in social sci…
Research & Papers· 2026-10-15
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arXiv has released a study analyzing the linguistic representation of gender in science fi…
LLMs & Foundation Models· 2026-10-15
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arXiv introduces Joint Subspace Sparse Attention (JSSA), a novel method addressing the KV-…
LLMs & Foundation Models· 2026-10-15
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arXiv has released a new study on the event prediction capabilities of large language mode…
LLMs & Foundation Models· 2026-10-15
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arXiv has released a study evaluating eight closed-source and open-weight large language m…
LLMs & Foundation Models· 2026-10-15
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arXiv has released a study on CTI-REALM, examining the performance and cost trade-offs bet…
Agentic· 2026-10-15
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The Qwen team has introduced ClawLoop, a novel framework for self-improving AI agents that…
Agentic· 2026-10-15
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A new arXiv paper provides an in-depth analysis of Agentic Data Science (agentic DS), eval…
LLMs & Foundation Models· 2026-10-15
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arXiv introduces LOTUS, a novel pretraining principle for time-series language models that…
Agentic· 2026-10-15
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arXiv introduces FlowSpec, a machine-readable specification designed to train voice agents…
