Why AI Isn’t Ready to Tackle Our Convoluted Genomes
The DNA inside our cells isn’t just a series of instructions, but something far more dynamic. Like scientists, AI models don't yet have the data to properly decode it.
AI News
Learning When to Withdraw: Curriculum Coverage and Rule-Specific Failures in Fine-Tuned Language Agents
arXiv:2610.21045v1 Announce Type: new Abstract: Tool-using language agents must revise prepared actions when evidence changes or authority is revoked. Selective withdrawal means suspending affected ac
MemComposer: Learning to Assemble Memories for LLM Agents via Reinforcement Learning
arXiv:2610.21091v1 Announce Type: new Abstract: Agent memory enables large language model (LLM) agents to reuse past experiences without updating their parameters. However, semantic similarity alone d
OmicsBench: a long-horizon multi-turn benchmark of AI agents on research-study-scale bioinformatics
arXiv:2610.21074v1 Announce Type: new Abstract: Computational biologists increasingly delegate substantial analyses to AI agents in long-horizon, multi-turn sessions, yet most benchmarks of agents' bi
SkillNEO: Non-Elitist Evolutionary Optimization of Agent Skills
arXiv:2610.20926v1 Announce Type: new Abstract: Agent skills turn procedural knowledge into reusable artifacts, allowing LLM agents to accumulate and refine expertise through experience. Building on t
MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer Environments
arXiv:2610.20939v1 Announce Type: new Abstract: Online reinforcement learning (RL) with verifiable rewards has driven rapid progress in mathematics, coding, and tool use, but scaling this success to G
Meta removes language that raised scraping and AI training concerns
A Meta spokesperson insisted that the updated terms did not reflect a change in the way Meta crawls the web.
Failure Is the Mother of Success: Recovering Supervision with Grounding Hindsight
arXiv:2610.21018v1 Announce Type: new Abstract: When every rollout for a problem fails, GRPO receives neither a successful exemplar nor a nonzero group-relative advantage, so it learns nothing from ex
MSP: Modality Self-Play for Training Multimodal LLMs Without Paired Cross-Modal Data
arXiv:2610.20965v1 Announce Type: new Abstract: Large multimodal models have achieved remarkable progress by scaling model capacity and training on massive paired multimodal data. However, this paradi
Wipro’s Deal Slump Puts Its AI Growth Story to the Test
Wipro is counting on two unsigned deals to reverse a sharp decline in bookings. It is also banking on artificial intelligence (AI) to change how it wins and delivers business. Neither has yet translat
Deep Reinforcement Learning for HPC Job Scheduling: A Statistical Evaluation
arXiv:2610.21008v1 Announce Type: new Abstract: Deep Reinforcement Learning (DRL) offers learned job selection for High-Performance Computing (HPC), but performance against heuristics alone does not e
Probe-and-Resume: When and How to Evaluate Agent Execution
arXiv:2610.21088v1 Announce Type: new Abstract: Test-time search can improve agent performance by exploring alternative actions and using a critic to select promising branches. We study this approach
Kolab: Benchmarking Human-Agent Collaboration in Long-Horizon Workflows
arXiv:2610.21109v1 Announce Type: new Abstract: When humans collaborate with AI agents on long-horizon tasks, what happens to the agents' contributions? For solving long-horizon tasks, humans place gr
Planning Commitment of LLM under Partial Observability
arXiv:2610.21108v1 Announce Type: new Abstract: LLM-based planning agents commit to plans of different lengths before interacting with a partially observable environment. Some aggressively commit to a
All-in-One Memory: Process-Rewarded Reinforcement Learning for Memory Agents
arXiv:2610.21147v1 Announce Type: new Abstract: Large language models increasingly rely on external memory to answer queries grounded in long-horizon histories such as multi-session dialogues and leng
LEV: Thinking Fast and Deep with Looped Decision Models
arXiv:2610.20951v1 Announce Type: new Abstract: Decision models answer typed questions about an input with one probability per option, computed in a single forward pass without generating text. Like t
Sci$\Pi$vot: Benchmarking Principal-Investigator Judgment at Pivotal Moments of Scientific AutoResearch Agents
arXiv:2610.21082v1 Announce Type: new Abstract: Large language model (LLM) agents can keep scientific experiments running for months with little human supervision, but reliable autonomous research als
Replit makes OpenAI its default over Anthropic, CEO says
Over the weekend, Masad clarified that OpenAI would replace Anthropic as its default model provider. Claude will still be available to customers on the platform.
Anthropic says its workforce has become less junior and is spending more time in meetings
The composition of Anthropic’s workforce and the type of work getting done have changed significantly in the past year.
Defining and Generating Compositional Structure
arXiv:2610.20922v1 Announce Type: new Abstract: Compositional structure is pervasive in nature and across scales: atoms combine into molecules, molecules into cells, and cells into organisms, while fu
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