arXiv:2610.00015v1 Announce Type: new Abstract: Large-language-model agents can propose and execute actions, but proposal, authority, dispatch, verified…
When Do Causal World Models Help Modular LLM Agents
arXiv:2610.00012v1 Announce Type: new Abstract: LLM agents increasingly act through modular systems, such as order, payment, inventory, and shipment…
Heavy-Tailed Memory Traces in Long-Horizon Language Agents
arXiv:2610.00010v1 Announce Type: new Abstract: Long-horizon language agents increasingly rely on external memory as a frozen world model, yet current…
Gemini 4 Argon: our next era of frontier intelligence
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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…
AutoSynthData: Generating Training Data for Enterprise Agents
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What Do Rationales Communicate? A Message-Intervention Study in Role-Specialized QA
arXiv:2610.00018v1 Announce Type: new Abstract: Role-specialized QA pipelines increasingly pass rationales from a reasoner to a verifier, but it is…
AI News Brief Hourly Summary 2026-10-02 06h : 13 posts
13 posts published in the last hour 03:32scTrilemma: Balancing Identity, Invariance, and Fidelity in Single-Cell Representation Learning 03:32SkillSeek: Revisiting Agent Skill Retrieval at Marketplace Scale 03:32Where MLLMs Fail and Why: Causal Task Decomposition for Capability Failure Diagnosis 03:31Mitigating the Length-Scaling…
scTrilemma: Balancing Identity, Invariance, and Fidelity in Single-Cell Representation Learning
arXiv:2609.38840v1 Announce Type: cross Abstract: Single-cell RNA-seq representation learning is fundamentally label-free: cell identities, states, and…
SkillSeek: Revisiting Agent Skill Retrieval at Marketplace Scale
arXiv:2609.38822v1 Announce Type: cross Abstract: Anthropic’s Agent Skills package reusable procedural know-how for an LLM agent into SKILL.md…
Where MLLMs Fail and Why: Causal Task Decomposition for Capability Failure Diagnosis
arXiv:2609.38851v1 Announce Type: cross Abstract: End-to-end accuracy on compositional tasks records how often MLLMs fail, but cannot distinguish whether…
Mitigating the Length-Scaling Tax with Online Distillation
arXiv:2609.38854v1 Announce Type: cross Abstract: Length scaling during reinforcement-learning (RL) post-training is often viewed as a sign of improved…
OpenAI and Synopsys team up to build an AI model that designs chips like a seasoned engineer
OpenAI and Synopsys are building GPT-Synopsys, a specialized AI model for chip design. It’s meant to operate Synopsys’ EDA tools like a seasoned engineer…
Scoring Higher, Answering Worse: Mitigating Reward Hacking in Rubric-Based RL via Protocol-Level Rubrics
arXiv:2609.38847v1 Announce Type: cross Abstract: Rubric-based reinforcement learning (Rubric-RL) trains language models where no verifier exists. A judge…
CRAFT: Causal Responsibility and Failure Tracing in Medical Vision Language Models
arXiv:2609.38810v1 Announce Type: cross Abstract: As vision language models are increasingly deployed in clinical diagnosis, understanding how they…
StateTree: Enhancing Long-Term Dialogue Reasoning via Reinforcement Learning
arXiv:2609.38809v1 Announce Type: cross Abstract: Large language models deployed as personalized assistants must reason over long, evolving interaction…
BARRAC: Adaptation of an English Aspect-based Sentiment Analysis Approach for Classification Tasks in Arabic Dialects
arXiv:2609.38820v1 Announce Type: cross Abstract: With the rapid growth of Arabic NLP, several models, datasets and benchmarks have been reported. This…
Future Video Generation Better Aligns with the Human Visual Cortex than Observed Video
arXiv:2609.38819v1 Announce Type: cross Abstract: Studying the alignment between the internal representations of vision models and the responses of the…