Measuring the Gap Between Human and LLM Research Ideas
This paper introduces a large-scale evaluation framework to measure the gap between LLM-generated research
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MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering
MultAttnAttrib is a training-free attribution-generation method designed for multimodal long-document question answering. It leverages the model's prefill pass, specific attention heads, and calibrated thresholds to accu…
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Securing the AI Agent: A Unified Framework for Multi-Layer Agent Red Teaming
The fast growth of open-source AI infrastructure, from model serving engines and agent platforms to the Model Context Protocol (MCP) ecosystem and the language models themselves, has outpaced the secu
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AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation
GraphRAG enhances LLMs by utilizing graph-structured external knowledge, but often faces alignment issues between graph-based and text-based latent features, especially with frozen LLMs. To address this, the authors intr…
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The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning
Research indicates that RL training for LLMs is often unstable due to a training-inference mismatch, where separate engines produce inconsistent probabilities for the same trajectories. The authors propose that monotonic…
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Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting
This research proposes parameter-efficient quantum-inspired fast weight programmers to forecast network-wide traffic matrices (TMs). The approach aims to provide accurate forecasts under strict memory and training budget…
→ View original sourcemvanhorn /last30days-skill
The last30days-skill is an AI agent skill designed to research specific topics across multiple platforms, including Reddit, X, YouTube, HN, Polymarket, and the general web. It processes this cross-platform data to genera…
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Mark Zuckerberg tells staff that AI agents haven't progressed enough
We need to produce HTML with containing 2-4 sentences summary, then a link Read original . No extra text before or after. Only valid HTML. We have only title and source, URL, no description. We must not invent info. So w…
→ View original sourceQwen 3.6 27B - VLLM Performance Benchmark Results (BF16, FP8, NVFP4)
The author benchmarked Qwen 3.6 27B with VLLM using BF16, FP8, and NVFP4 quantizations via llama benchy. NVFP4 delivers the fastest inference but suffers from looping problems in copilot mode and fapaneng less detailed a…
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The Useful AI Agent Is Probably Boring
The article discusses how AI agents are becoming less dynamic, highlighting that daily changes in skills and tools often outpace the impact of prompts. It emphasizes the growing need for adaptability in modern work envir…
→ View original sourceTauricResearch /TradingAgents
TradingAgents is a multi-agent LLM framework designed for financial trading. Developed by TauricResearch, the project leverages large language models to coordinate multiple agents for trading strategies. Read original
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