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When the solution defines the problem

How AI is reversing traditional problem-solving — and uncovering opportunities we never knew existed Continue reading on...

When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging

arXiv:2602.05536v1 Announce Type: cross Abstract: Model merging combines multiple fine-tuned models into a single model...

When retrieval outperforms generation: Dense evidence retrieval for scalable fake news detection

arXiv:2511.04643v1 Announce Type: new Abstract: The proliferation of misinformation necessitates robust yet computationally efficient fact...

When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models

arXiv:2509.18762v1 Announce Type: new Abstract: Large language models (LLMs) have achieved impressive performance across natural...

When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA

arXiv:2510.19172v1 Announce Type: new Abstract: LLMs often fail to handle temporal knowledge conflicts–contradictions arising when...

When Does Personality Composition Matter for Multi-Agent LLM Teams?

arXiv:2606.27443v2 Announce Type: replace-cross Abstract: Personality prompting shapes how large language models communicate, yet whether...

When can we say AI made a scientific discovery?

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories...

When Annotators Agree but Labels Disagree: The Projection Problem in Stance Detection

arXiv:2603.24231v2 Announce Type: replace Abstract: Stance detection is nearly always formulated as classifying text into...

When and How Long Did Therapy Happen? Soft-Supervising Temporal Localization Using Audio-Language Models

arXiv:2506.09707v3 Announce Type: replace-cross Abstract: Prolonged Exposure (PE) therapy is an effective treatment for post-traumatic...

When AI designs a drug, who gets the credit?

When the biotech company Insilico Medicine used its computer models to propose a promising drug...

When AI Agents Collude Online: Financial Fraud Risks by Collaborative LLM Agents on Social Platforms

arXiv:2511.06448v1 Announce Type: cross Abstract: In this work, we study the risks of collective financial...

What’s next for US energy policy after the midterm elections?

I’ve been locked in to my various screens since results from midterm elections started to...

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