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3,533 papers
This work examines how reachable behavior, optimization budgets, and persistent adaptation shape exposure to proxy error, and develops a comparative framework for reward hacking across these three optimization substrates: weights, selection, and text.
Evaluated on two reasoning domains, math and multi-hop reasoning, across 1-8B models from different families, LoT consistently improves over KD and converges faster than staged curricula, highlighting the value of adaptive progression.
This work builds four modules (for drug-discovery chemistry, materials science, machine learning, and mineral geochemistry) in the ArticleMiner framework, and evaluates them on 163 papers, including a new geochemistry benchmark with expert-curated ground truth.
This work treats attention as a routing map from one forward pass, keep a small set of routes that point toward the answer, and asks whether those routes actually matter, and whether those routes actually matter.
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The AI Neuroscientist is presented, a language agent for interactive data exploration that integrates a large language model with a neuroimaging toolset to perform quality control, modeling, and visualization and allows researchers to query data quality and specify analysis parameters directly in natural language.
Our research topic has inspired studies on new results on lightweight computer vision (CV) models and edge deployment strategies for crop production. With the proliferation of unmanned aerial vehicles (UAVs), autonomous harvesters, and Internet-of-Things (IoT) devices in agriculture, the demand for efficient, accurate,...
Introduction The purpose of this study was to strengthen 5th grade elementary reading, math, and ESOL teachers' instructional expertise in integrating oral and written language development within Tier 1 differentiated instruction for multilingual language learners (MLLs), through a job-embedded professional development...
Background. The rapid development of digital technology in sports education has opened new opportunities for interactive learning and skill improvement. In floorball, traditional training methods often lack personalized guidance and real-time feedback, limiting athletes’ progress. Therefore, this study aims to develop...
Chemists read 1 H and 13 C NMR daily, and it is tempting to paste the peak lists into a large language model. Given only those two peak lists for 105 molecules balanced by molecular complexity and compound classes, six frontier LLMs (Claude Opus 4.8, DeepSeek V4 Pro, Gemini 3.1 Pro, GPT-5.5, Grok 4.3, Qwen3.7-Max) and...
Pragmatic competence remains a vital yet often overlooked area in instructed second language learning, particularly in the domain of refusal speech acts. This quasi-experimental study investigated the effect of VR-mediated explicit pragmatics instruction on L2 learners’ refusal strategies. Fifty-two intermediate-leve...
GraphRAG is a multi-component pipeline that also includes query expansion, a second retrieval stage, evidence fusion, and a monotonic RAG fallback, and is therefore evaluated as a complete hybrid system rather than as graph retrieval in isolation, which reflects the complete hybrid system rather than graph augmentation...
A Blog post by IBM Granite on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Gemini 4 Carbon is our strongest model with state-of-the-art cybersecurity and long horizon capabilities.
A Blog post by Liquid AI on Hugging Face
Genie 4: our new world model unlocking unprecedented realism in real-time simulation.
Generative AI
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