7 posts published in the last hour 10:12Training an MoE LLM in MXFP4: How We Closed the Gap to BF16 10:11Spatial Heuristic Strategy based Diffusion Reinforcement Learning for Online 3D Bin Packing 10:11Financial Context-Rich Strategy for Actor-Critic based Agents: A…
Training an MoE LLM in MXFP4: How We Closed the Gap to BF16
arXiv:2610.32229v1 Announce Type: new Abstract: Training large language models (LLMs) in sub-8-bit arithmetic promises substantial gains in memory…
Spatial Heuristic Strategy based Diffusion Reinforcement Learning for Online 3D Bin Packing
arXiv:2610.32241v1 Announce Type: new Abstract: Traditional heuristic methods have accumulated mature experience in core objectives, such as space…
Financial Context-Rich Strategy for Actor-Critic based Agents: A Deep Reinforcement Learning Approach for Stock Trading
arXiv:2610.32237v1 Announce Type: new Abstract: In modern financial markets, more than 3/4th of the large volume trade is executed by algorithmic trading…
Wall Street’s fastest traders are building data centers and backing chip startups to stay ahead in AI
High-frequency traders like Jane Street and Hudson River Trading are now racing each other for AI computing power. The article Wall Street’s fastest…
RSIHub: A Composable Framework for Agent-Evolution Methods
arXiv:2610.32253v1 Announce Type: new Abstract: Agent-evolution methods use execution feedback to improve prompts, skills, tools, and orchestration, but…
Toyota is betting $6.4 billion a year on humanoid robots and factory automation
Toyota wants to turn itself into a global robotics company, and it’s betting on humanoid robots and factory automation to get there. The article Toyota is…
Minimum Description Length Unsupervisedly Separates Law-Grade from Statistical-Grade Knowledge in a Self-Improving Science Agent – and Reveals 86% of Its Own Discoveries Are Statistical
arXiv:2610.32245v1 Announce Type: new Abstract: AI systems that discover scientific relations now generate candidate “laws” at scale, but the bottleneck…
SWE-Shift: Evaluating Coding Agents in Evolving Workspaces
arXiv:2610.32196v1 Announce Type: new Abstract: Repository-level coding benchmarks largely assume that tasks and environments remain unchanged throughout…
Watermarking Diffusion Language Models with Learned Foresight and Balanced Bands
arXiv:2610.32205v1 Announce Type: new Abstract: Green-red watermarks favor tokens from a green list that a secret key derives from the preceding tokens.…
PEAR: Adaptive Advantage Reshaping for Perception and Exploration in Large Vision-Language Models
arXiv:2610.32216v1 Announce Type: new Abstract: Effective multimodal reasoning requires a model to reliably utilize visual information while sufficiently…
EBRD Taps Cognizant for Five-Year AI-Led Tech Blueprint Partnership
Cognizant announced on October 26, 2026 that the European Bank for Reconstruction and Development has selected it as a strategic partner under a five-year…
RxnExBench: Benchmarking Vision-Language Models for Structured Chemical Reaction Extraction from Scientific Literature
arXiv:2610.32221v1 Announce Type: new Abstract: Screen Tables and Substrate Scopes are information-dense figures widely used in synthetic chemistry…
SWI Compute Debuts With Plans for NVIDIA AI Factories Across Europe
SWI Compute, a new AI infrastructure company within Euronext Amsterdam-listed SWI Group, emerged from stealth on October 26, 2026, announcing plans to…
Correct Answers, Closed Gates: SolveBind for GUI Agents at the Verification Barrier
arXiv:2610.32223v1 Announce Type: new Abstract: Websites and applications deploy CAPTCHAs and anti-automation mechanisms that use behavioral signals such…
Evidence-Grounded SLM Behavioral Prediction Architecture for Future Assistance Use
arXiv:2610.32193v1 Announce Type: new Abstract: Users often exhibit changes in interaction behavior before explicitly seeking assistance, enabling systems…
Not All Information Is Worth Asking For: Decision-Informed Information Seeking with LLMs
arXiv:2610.32181v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to support decisions under incomplete information,…
MPQ: A Message-Passing View of Post-Training Quantization
arXiv:2610.32127v1 Announce Type: new Abstract: Post-training quantization (PTQ) is a key technique for efficiently deploying large language models, as it…