arXiv:2608.05810v2 Announce Type: replace Abstract: Self-evolving agents accumulate capability by distilling reusable skills from their execution…
Category: AI
A Neuropsychologically Grounded Evaluation of LLM Cognitive Abilities
arXiv:2603.02540v2 Announce Type: replace Abstract: Large language models (LLMs) display a unified “general factor” of capability across 10 benchmarks (a…
Guideline-grounded retrieval-augmented generation for ophthalmic clinical decision support
arXiv:2603.21925v2 Announce Type: replace Abstract: In this work, we propose Oph-Guid-RAG, a multimodal visual RAG system for ophthalmology clinical…
SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science
arXiv:2605.18630v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly deployed as scientific AI as- sistants, and a growing…
A startup that builds other startups raised $100M and is all-in on physical AI
UP.Labs, now doing business under the name Vantora, is building startups for industrial corporations.
Reinforcing the World’s Edge: A Continual Learning Problem in the Multi-Agent-World Boundary
arXiv:2603.06813v3 Announce Type: replace Abstract: Ordinary decentralized multi-agent reinforcement learning presents each focal agent with a continual…
Tilly Norwood’s press tour is going about as well as you’d expect for an AI
In one particularly odd interview, Norwood seems to malfunction and begin speaking Chinese.
Semantic Feature Analysis: Improving Agents Without Searching Over Rollouts
arXiv:2604.10513v2 Announce Type: replace Abstract: Ambiguity is an inherent property of natural-language agent specifications. When a system prompt…
Model Specific Task Similarity for Vision Language Model Selection via Layer Conductance
arXiv:2602.01346v2 Announce Type: replace Abstract: While open sourced Vision-Language Models (VLMs) have proliferated, selecting the optimal pretrained…
TripScore: Aligning LLMs for Real-World Travel Planning via Expert-Calibrated Reward
arXiv:2510.09011v4 Announce Type: replace Abstract: In our deployed travel-planning service, most users give minimal inputs or free-form requests rather…