arXiv:2608.15565v1 Announce Type: new Abstract: Experience-learning agents for optimization modeling improve by storing verified skills, but existing…
Category: AI
ATLAS: Scaffold-Free Algorithm Synthesis by LLMs via Embedding-Guided Quality-Diversity Search
arXiv:2608.15546v1 Announce Type: new Abstract: Most LLM-based automated algorithm design methods optimize a designated component within a human-specified…
Agent Gym: A Framework for Continuous Evaluation and Evolution of LLM Agents Through Human-in-the-Loop Feedback
arXiv:2608.15591v1 Announce Type: new Abstract: Large Language Model (LLM) agents deployed in production environments face a fundamental tension: the…
Edcafe AI Review: The Teacher Tool That’ll Save Your Sunday
Ask any teacher what actually eats their time, and it’s rarely the hours in front of students. It’s everything that happens before and after: building a…
When Entropy Is Not Enough: Reclaiming Lost Semantics in LLM Output Length Prediction
arXiv:2608.15592v1 Announce Type: new Abstract: Efficient LLM serving is often bottlenecked by the need to pad sequences to a fixed maximum length, and…
Perplexity’s Free Airtel Year Ends, and Its India Revenue Climbs
Perplexity’s year-long bet on free access in India is starting to show its return. The AI search company’s in-app revenue in the country rose roughly 60%…
From Generalist to Specialist: A Context-Fusion Framework for Endoscopic Polyp Reporting with a Frozen VLM
arXiv:2608.15580v1 Announce Type: new Abstract: Reliable endoscopic polyp reporting requires integrating quantitative lesion sizing, standardized Paris…
Who Leads Now? Token-Level Modality Arbitration for Chart-to-Code Generation
arXiv:2608.15510v1 Announce Type: new Abstract: Chart-to-code generation requires a model to read the fine-grained visual details of a chart and write…
From Contexts to Values: Context-Dependent Defeat in Abstract Argumentation
arXiv:2608.15536v1 Announce Type: new Abstract: In value-based argumentation, an audience’s ordering of values decides which attacks succeed as defeats.…
Dynamic Multi-Byte Prediction With Hierarchical Language Models
arXiv:2608.15454v1 Announce Type: new Abstract: Byte-level hierarchical language models (LMs) have recently emerged as a robust alternative to their…