arXiv:2603.28986v1 Announce Type: new Abstract: Current Autonomous Scientific Research (ASR) systems, despite leveraging large language models (LLMs) and agentic architectures, remain constrained by fixed workflows and toolsets that prevent adaptation to evolving tasks and environments. We introduce Mimosa, an evolving multi-agent framework that automatically synthesizes task-specific multi-agent workflows and iteratively refines them through experimental feedback. Mimosa leverages the Model Context Protocol (MCP) for dynamic tool discovery, generates workflow topologies via a meta-orchestrator, executes subtasks through code-generating agents that […]

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arXiv:2602.06072v1 Announce Type: new Abstract: Attention efficiency is critical to large language model (LLM) inference. While prior advances optimize attention execution for individual requests (e.g., FlashAttention), production LLM serving relies on batching requests with highly heterogeneous sequence lengths for high serving throughput. This mismatch induces severe computation and I/O imbalance, exacerbates stragglers, and underutilizes GPU resources. We present PackInfer, a kernel-level attention framework that enables compute- and I/O-aware execution for heterogeneous batched inference. PackInfer orchestrates batched requests into […]

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Recent reinforcement learning (RL) approaches have advanced radiology report generation (RRG), yet two core limitations persist: (1) report-level rewards offer limited evidence-grounded guidance for clinical faithfulness; and (2) current methods lack an explicit self-improving mechanism to align with clinical preference. We introduce clinically aligned Evidence-aware Self-Correcting Reinforcement Learning (ESC-RL), comprising two key components. First, a Group-wise Evidence-aware Alignment Reward (GEAR) delivers group-wise, evidence-aware feedback. GEAR reinforces consistent grounding for true positives, recovers missed findings for false negatives, and […]

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In the 8086-era DOS environment, text display typically relied on the BIOS and the graphics adapter’s built-in character generator rather than any sophisticated font rendering system. The fonts were firmly tied to specific text modes implemented by adapters such as CGA, EGA, or VGA. One of the most common modes was text mode 03h, which presented an 80×25 text grid. In one of our previous deep dives, we explored the infamous VGA-Mode 13h and how to integrate hardware […]

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Hey everyone, I’m fascinated by RL for LLMs. I have some SFT experience but none with RL, and I’d like to start experimenting with DPO. Some context: Over time I’ve built a framework for building LLM agents that I use internally at the company where I work. It started as na side project but evolved quite a bit, i recently added a tracer and an MCP server for Claude on top of it. What does this mean in […]

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arXiv:2601.16440v1 Announce Type: new Abstract: Erratum to the paper (Zhang et al., 2025): corrections to Table IV and the data in Page 3, Section A. In the post-pandemic era, a high proportion of civil aviation passengers wear masks during security checks, posing significant challenges to traditional face recognition models. The backbone network serves as the core component of face recognition models. In standard tests, r100 series models excelled (98%+ accuracy at 0.01% FAR in face comparison, high top1/top5 […]

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