ニュース
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
arXiv:2508.03686v1 Announce Type: new Abstract: Answer verification is crucial not only for evaluating large language...
Comparison of different Unique hard attention transformer models by the formal languages they can recognize
arXiv:2506.03370v1 Announce Type: cross Abstract: This note is a survey of various results on the...
Comparing Apples to Oranges: A Dataset & Analysis of LLM Humour Understanding from Traditional Puns to Topical Jokes
arXiv:2507.13335v2 Announce Type: replace Abstract: Humour, as a complex language form, is derived from myriad...
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The bird is a beautiful silver-gray, and as she dies twitching in the lasernet I’m...
Coming soon: 10 Things That Matter in AI Right Now
Each year we compile our 10 Breakthrough Technologies list, featuring our educated predictions for which...
Combining Evidence and Reasoning for Biomedical Fact-Checking
arXiv:2509.13879v1 Announce Type: new Abstract: Misinformation in healthcare, from vaccine hesitancy to unproven treatments, poses...
Combinatorial Optimization for All: Using LLMs to Aid Non-Experts in Improving Optimization Algorithms
arXiv:2503.10968v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have shown notable potential in code...
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
arXiv:2307.02075v4 Announce Type: replace-cross Abstract: Entity alignment (EA) aims at identifying equivalent entity pairs across...
Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification
arXiv:2509.13888v1 Announce Type: new Abstract: Misinformation in healthcare, from vaccine hesitancy to unproven treatments, poses...
Colossal Biosciences said it cloned red wolves. Is it for real?
If you want to capture something wolflike, it’s best to embark before dawn. So on...
Colossal Biosciences is growing chickens in a 3D-printed artificial eggshell
The baby chicks were shifting and starting to pip—or trying to hatch. But not from...
Collapse of Irrelevant Representations (CIR) Ensures Robust and Non-Disruptive LLM Unlearning
arXiv:2509.11816v2 Announce Type: replace-cross Abstract: Current unlearning and safety training methods consistently fail to remove...
