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AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside L

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1 SIGNALFIRST DETECTED 26 March 2026
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13 Apr
AlphaLab: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs

arXiv:2604.08590v1 Announce Type: cross Abstract: We present AlphaLab, an autonomous research harness that leverages frontier LLM agentic capabilities to automate the full

REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 Mar
AI4S-SDS: A Neuro-Symbolic Solvent Design System via Sparse MCTS and Differentiable Physics Alignment

arXiv:2603.03686v2 Announce Type: replace Abstract: Automated design of chemical formulations is a cornerstone of materials science, yet it requires navigating a high-dimensional

REPORT · HOW · ArXiv CS.AIOPEN STORY
4 May
Minimal, Local, Causal Explanations for Jailbreak Success in Large Language Models

arXiv:2605.00123v1 Announce Type: new Abstract: Safety trained large language models (LLMs) can often be induced to answer harmful requests through jailbreak prompts. Because we

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27 Apr
AgentSearchBench: A Benchmark for AI Agent Search in the Wild

arXiv:2604.22436v1 Announce Type: new Abstract: The rapid growth of AI agent ecosystems is transforming how complex tasks are delegated and executed, creating a new challenge of

REPORT · HOW · ArXiv CS.AIOPEN STORY
2 Oct
Measuring the Microtask Eligibility Gap: When Is an Off-the-Shelf SLM Enough for an Agent Harness?

arXiv:2610.00025v1 Announce Type: new Abstract: Agent harnesses increasingly want to run small language models (SLMs) on the microtasks around a frontier large language model

REPORT · WHEN · ArXiv CS.AIOPEN STORY
14 Aug
Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence

arXiv:2608.12036v1 Announce Type: new Abstract: AI models have achieved remarkable success across diverse domains, yet the mechanisms underlying their capabilities and the risks

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16 Apr
Numerical Instability and Chaos: Quantifying the Unpredictability of Large Language Models

arXiv:2604.13206v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly integrated into agentic workflows, their unpredictability stemming from numerical

REPORT · WHAT · ArXiv CS.AIOPEN STORY
25 Mar
Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning

arXiv:2603.22942v1 Announce Type: new Abstract: Translating Natural Language to SQL (NL2SQL) remains a critical bottleneck for democratization of data in enterprises. Although

REPORT · HOW · ArXiv CS.AIOPEN STORY
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