AI research news
Stories 541 to 600 of 858, from 23 September 2026 to 30 September 2026, newest first. The latest are on the first page →
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Researchers propose NashEval for context-dependent AI agent evaluation
A new paper on arXiv introduces NashEval, a framework for evaluating AI agents based on context-dependent preferences. Traditional methods like Bradley-Terry models assume transitive rankings, but human judgments often…
2 sources primary sourcearXiv cs.AI -
Researchers test whether AI harnesses specialize or just repeat answers
A new study on arXiv examines whether automated LLM harnesses truly specialize in tasks or simply repeat answers. The paper compares eight generated harnesses against nine identical baseline copies across 386 MATH-500…
1 source primary sourcearXiv cs.AI -
Study finds synthetic embeddings match text for LLM fine-tuning
Researchers from arXiv have published a study questioning whether human-readable text is required for effective fine-tuning of large language models. The paper introduces a method called Desired-Update-Aligned…
1 source primary sourcearXiv cs.AI -
Researchers build neurosymbolic router that sends math to exact solvers on Raspberry Pi
A paper on arXiv describes a neurosymbolic router that classifies incoming queries and routes structured tasks such as arithmetic and logic to deterministic solvers, while sending open-ended word problems to a small…
1 source primary sourcearXiv cs.AI -
Simon Willison shares GPT-6.1 Sol pelicans from OpenAI DevDay 2026
Simon Willison posted a comment on Hacker News linking to his live blog of the OpenAI DevDay 2026 keynote. He shared SVG renderings of GPT-6.1-Sol pelicans, noting they are not notably different from the GPT-6 family…
1 sourceSimon Willison -
Swift-1.5-Qwen3.8-27b-oQ8e-mtp achieves 34.8 tokens per second on Apple M5 Max
A Reddit user shared benchmark results for the Swift-1.5-Qwen3.8-27b-oQ8e-mtp model on an Apple M5 Max device on September 29, 2026. The model reached 34.8 tokens per second in a coding scenario, generating a playable…
1 sourcellm-bench.io -
Zhipu automates infrastructure with GLM-5.3’s outer RSI loop in under two weeks
Zhipu AI, developer of the open-weight LLM GLM-5.3, detailed how it used its own model to accelerate internal infrastructure work. The team deployed an Infra Agent powered by GLM-5.3 to optimize GLM-5.3-Flash—a faster,…
3 sources primary sourcemadrobot.bloganthropic.comImport AI -
Ohio State and Google launch AI research hub with DeepMind models and Gemini access
Ohio State University and Google announced a five-year partnership on September 29, 2026, to create an on-campus AI research hub in Ohio State’s Innovation District. The collaboration includes access to Google…
1 sourcefinance.yahoo.com -
General Intuition raises $220M at $6.2B valuation for AI agents trained on gameplay footage
The total funding now exceeds $650 million, following a $320 million raise in June. Medal’s user-generated content, including 3 billion annual video uploads, provides a vast trove of real-world interaction data.…
1 sourcegamesbeat.com -
Anthropic’s AI Claude discovers CRISPR-like enzyme system ART
Anthropic announced that its AI model Claude autonomously discovered a new enzyme system called array-associated reverse transcriptases (ART) in a DNA sequence database, noting structural similarities to CRISPR. The…
26 sources HN 7MIT Technology Review AIcnet.comnote.comthedailystar.net +18 more -
KDnuggets lists five free AI engineering courses for hands-on learning
KDnuggets published a list of five free, open-source courses to help build AI engineering skills. The author, Abid Ali Awan, organizes them from beginner to advanced, covering LLMs, RAG, MLOps, fine-tuning, and…
1 sourceKDnuggets -
Jagged intelligence explains uneven AI performance in complex tasks
Jagged intelligence describes how AI systems excel at demanding tasks while failing on simpler related ones. The concept focuses on five stages—mapping task performance, probing instruction variations, testing…
1 sourceUnite.AI -
Phylogeny-agnostic ML predicts strain-level phage–host interactions
Researchers developed a phylogeny‑agnostic machine‑learning framework that predicts strain‑level phage–host interactions from genome sequences alone. The team evaluated over 13.2 million training runs across six…
1 source primary sourceNature Machine Learning -
AI may narrow scientific exploration, authors argue
A new opinion piece in Nature Machine Learning argues that while AI boosts individual researcher productivity, it is narrowing the scope of scientific inquiry. The authors note that academics using AI tools publish…
1 source primary sourceNature Machine Learning -
LLM-generated ACSL contracts for numerical libraries
A new approach uses large language models (LLMs) to automatically generate a small, human-certifiable Automated C Specification Language (ACSL) contract from function documentation. This combined with a deterministic…
1 source primary sourcearXiv cs.CL -
Visualizing RAG Conflicts: Temporal Semantic Divergence Score
Researchers at arXiv have introduced the Trajectory Variance Score (TVS) to detect conflicts in retrieval-augmented generation (RAG) models. These models often struggle when retrieved context contradicts parametric…
1 source primary sourcearXiv cs.CL -
Study suggests dialects do not drive jailbreak success
A recent arXiv paper investigates how dialectal variations affect large language model jailbreaks. The authors extended a classical Chinese red‑team framework to Shanghainese and Cantonese and ran a 36‑cell ablation…
1 source primary sourcearXiv cs.CL -
LLM-guided ontology construction from unstructured texts
A new approach combines compact open-source Large Language Models (LLMs) with ontology learning to extract and structure knowledge from industrial text. This paper evaluates the method on a private French corpus of…
1 source primary sourcearXiv cs.CL -
Researchers test 72,000 RAG combos on Indian government documents
The work evaluated eight hundred question instances across four distinct Indian central-government regulatory documents, with evidence strings validated against source text and manually reviewed for 10 percent of the…
1 source primary sourcearXiv cs.CL -
Researchers release ChestPheNoT for auditable radiology report analysis
Researchers introduced ChestPheNoT, a compact 0.5–3B language model designed to extract structured medical findings, status labels (present/absent/uncertain), and verbatim evidence spans from radiology reports. The…
1 source primary sourcearXiv cs.CL -
BioDyad integrates biomedical discovery with ML program search
BioDyad is a new agentic system that links biomedical evidence and machine learning engineering. It uses two hierarchies—one for scientific discovery and one for program engineering—to guide candidate construction,…
1 source primary sourcearXiv cs.AI -
Researchers propose MedCode to boost LLMs’ medical calculation accuracy by 20–30%
A new framework called MedCode aims to improve large language models’ ability to perform precise medical calculations. Current LLMs struggle with tasks requiring exact numerical outputs, such as medication dosing or…
1 source primary sourcearXiv cs.AI -
Researchers release open protocol for distributed AI textbook formalization
Researchers introduced Choir, an open protocol for distributed AI-driven formalization of textbooks and theorems. Unlike current centralized approaches, Choir splits tasks across independent contributors, each using…
1 source primary sourcearXiv cs.AI -
Researchers introduce countermem to improve AI agent memory with counterfactual checks
Researchers at an unnamed lab have proposed COUNTERMEM, a reinforcement-learning framework designed to enhance AI agent memory by evaluating hypothetical outcomes. Unlike existing systems that rely solely on factual…
1 source primary sourcearXiv cs.AI -
Alibaba releases IndustryLLM for industrial procurement with 35B parameters
Researchers at Alibaba have introduced IndustryLLM, an open-weight language model designed for industrial procurement tasks. Built from Qwen3.5-35B-A3B-Base, the model uses 35 billion parameters with 3 billion…
1 source primary sourcearXiv cs.AI -
arXiv paper finds low overlap in LLM judge validation risks wrong decisions
A new arXiv paper argues that sparse overlap in LLM judge validation—when only a few items are labeled by multiple annotators—drives poor deployment decisions. The authors prove that at just 5% pairwise overlap,…
1 source primary sourcearXiv cs.AI -
Researchers release DriveHierarchy benchmark for VLM driving tests
DriveHierarchy is a new benchmark for evaluating vision-language models (VLMs) in autonomous driving. The framework breaks down driving competence into four ranks: perceptual grounding, contextual memory, mental…
1 source primary sourcearXiv cs.AI -
Researchers propose a design framework for human-AI collaboration
A new white paper on arXiv outlines a framework for designing human-AI collaboration in industrial settings. The authors argue that successful AI adoption depends on more than technical capabilities—it also requires…
1 source primary sourcearXiv cs.AI -
Researchers release CP-Agent for automated crystal plasticity simulations
Researchers introduced CP-Agent, an AI agent designed to automate crystal plasticity (CP) simulations for metals. The tool uses natural language to execute full workflows, including configuring tools, managing data…
1 source primary sourcearXiv cs.AI -
Researchers propose Witness Overlap to track Open-Weight model lineage
Witeness Overlap: Directional Provenance Inside Open-Weight Model Families arXiv:2609.31784v1 Announce Type: new Abstract: Open-weight models are often released, fine-tuned, aligned, merged, and re-released, making…
1 source primary sourcearXiv cs.AI -
SMARtCARE uses privacy-preserving AI for clinical decision support
Researchers introduced SMARtCARE, a privacy-preserving agentic AI system designed for clinical decision support in intensive care units. The architecture addresses a common limitation in long-context clinical AI, where…
1 source primary sourcearXiv cs.AI -
Maker tests GPT-6 Astra for mechanical design of a latte art camera
A maker tested whether GPT-6 Astra could handle mechanical design by building a latte art camera called LATTE Df. The device uses a shutter-like button to drop cinnamon powder through a stencil onto coffee foam,…
1 sourcenote.com -
Open-source decision models Jeff-Qwen3.5-0.8B and Jeff-Gemma4-E2B run in ~30ms on local hardware
Jeff is a set of small, fast decision models fine-tuned from Qwen3.5 and Gemma 4, designed for zero-shot classification tasks. The 0.8B-parameter model runs in about 22ms on an RTX PRO 6000 and 28ms on an Apple M4 Max,…
1 source primary source HN 59github.com -
Google DeepMind’s AI model adds five days to hurricane warnings
Google DeepMind’s WeatherNext Cyclones model won the 2026 Gizmodo Science Fair for predicting tropical cyclone tracks and intensity with unprecedented accuracy. During the 2025 Atlantic hurricane season, it gave…
1 sourceaol.com -
ConTP uses contrastive learning to predict transporter substrate specificity
Researchers from King Abdullah University of Science and Technology (KAUST) and Ningxia Medical University introduced ConTP, a new framework for annotating membrane transporters. Traditional methods rely on…
1 source primary sourceNature Machine Learning -
German researchers introduce ReImaGin for image-based chain-of-thought reasoning
A team of researchers from Germany has developed ReImaGin, a vision-language model (VLM) that uses image generation as part of its internal reasoning process. Unlike previous systems that relied on bolted-on image…
1 sourceUnite.AI -
OpenAI contractors fired for using banned AI tools on ChatGPT review tasks
OpenAI contractors reviewing ChatGPT responses were fired or removed from projects after violating a ban on using AI tools, according to an investigation by 404 Media. The workers, hired to evaluate AI outputs for…
1 sourceibtimes.co.uk -
Artificial Analysis launches Cyber Index Alliance to benchmark AI agents on cyber defense
Artificial Analysis introduced the Artificial Analysis Cyber Index Alliance, a partnership with Collinear, IBM, Nvidia, and Vercel to create a standardized benchmark for evaluating AI agents in enterprise cyber defense…
1 sourceartificialanalysis.ai -
Anthropic misses self-imposed safety deadline for provable-inference prototype
Anthropic’s September 30 deadline for Phase 1 of its provable-inference prototype has passed without public confirmation of completion. The milestone, originally set for May 15, was delayed to focus on broader security…
1 sourcefinance.yahoo.com -
Anthropic reports 26% of R&D reaches AI-led stage with 30,000 agents
Anthropic announced on September 17 that 26% of its research and development work now falls under AL4—where AI handles most tasks independently, with humans providing only broad instructions. This marks a 26-fold…
3 sourcesnote.com -
Worldmodeldata licenses 1 million hours of game data for AI
A British startup called Worldmodeldata is packaging video game data to train AI world models, which are designed to understand physical physics and actions. Unlike large language models trained on text, world models…
1 sourceWired AI -
Researchers release benchmark for AI in systematic review screening
A new paper on arXiv introduces a benchmark dataset and framework for evaluating large language models in systematic review screening. The dataset contains labeled entries to test how well LLMs classify article…
1 source primary sourcearXiv cs.CL -
SlideLab framework generates scientific presentations from research papers
SlideLab is a training‑free multi‑agent framework that builds scientific slide decks directly from research papers. The system first plans a presentation narrative, then iteratively refines a shared slide deck using…
1 source primary sourcearXiv cs.CL -
Cartograph reduces AI agent tool discovery from O(n) to O(k)
Cartograph is a federated Model Context Protocol (MCP) proxy that changes how AI agents find and call tools. Instead of traversing every catalog entry, the system exposes only a few proxy tools, lowering the search…
1 source primary sourcearXiv cs.CL -
Survey reviews 211 fake review detection studies from 2018 to 2026
A new survey published on arXiv examines the evolution of fake review detection methods, covering 211 studies released between 2018 and early 2026. The paper analyzes how the field has shifted from traditional machine…
1 source primary sourcearXiv cs.CL -
Researchers audit LLM-as-judge in text-to-SQL pipeline, find low agreement
Researchers examined the agreement between an LLM-as-judge and human annotators in a production text-to-SQL pipeline. The deployed gpt-4o-mini judge achieved a Cohen's kappa of 0.04 on a disagreement‑enriched set and…
1 source primary sourcearXiv cs.CL -
Researchers introduce hierarchical memory system for LLM agents
A new framework called HiCoMER addresses how collaborative AI agents manage and retrieve memories in team settings. The authors note that current systems treat all stored memories—both team-wide and individual—as a…
1 source primary sourcearXiv cs.CL -
Researchers propose attention-free model mixing with autoencoders for masked language tasks
A new paper on arXiv explores an alternative to attention mechanisms in transformer-based masked language models. The authors introduce a method using autoencoder-based mixing modules to replace attention, reducing…
1 source primary sourcearXiv cs.CL -
Study identifies under 1% of BERT neurons driving AI-Text detection
Researchers examined a frozen BERT‑base‑uncased encoder to determine which neurons support AI‑generated text detection. Using the RAID benchmark across six generators, they applied an L1‑to‑L2 sparse‑probing protocol…
1 source primary sourcearXiv cs.CL -
Researchers release Atelier for cryoEM map analysis via hypernetworks
A team of researchers introduced Atelier, a self-supervised framework that uses hypernetworks to extract localized features from cryo-electron microscopy (cryoEM) volumes. The method leverages implicit neural…
1 source primary sourcearXiv cs.AI -
Researchers introduce Benchy, a standardized language for AI task benchmarks
Researchers have proposed Benchy, a new semantic language and execution engine designed to standardize task-oriented AI benchmarks. The system defines benchmarks as a structured triplet of program, scoring function,…
1 source primary sourcearXiv cs.AI -
BioEVAL benchmark evaluates LLMs on bioengineering tasks
BioEVAL is a global, multi‑institutional benchmark created to test large language and multimodal models on bioengineering tasks. The benchmark contains 608 evaluation items from 22 research groups: 380 multiple‑choice…
1 source primary sourcearXiv cs.AI -
Researchers propose S3KG framework to evaluate LLM context
Researchers have introduced a new evaluation framework designed to test whether large language models truly understand context or merely perform pattern matching. The paper, published on arXiv, argues that traditional…
1 source primary sourcearXiv cs.AI -
Researchers train SchNet GNN to predict transmembrane protein topology from 3D structures
A new paper on arXiv introduces a graph neural network (GNN) called SchNet to predict transmembrane protein topology using 3D structural data. Unlike prior methods relying on protein sequences or alpha-carbon features,…
1 source primary sourcearXiv cs.AI -
Synthetic Ground-Truth framework evaluates XAI methods
The paper introduces a synthetic ground‑truth framework for evaluating explainable AI methods. It addresses the lack of reliable evaluation procedures and the absence of ground‑truth explanations by using controlled…
1 source primary sourcearXiv cs.AI -
Researchers propose MCP-based mediation layer for LLM agents and data spaces
A paper on arXiv introduces an architectural mediation approach using the Model Context Protocol (MCP) to connect large language model agents with data space services. The authors implement the Eunomia Agent as a…
1 source primary sourcearXiv cs.AI -
Researchers find Multi-Agent code judge often declares both solutions equally good
A study posted to arXiv examines how language models judge code correctness without access to ground truth. The researchers ran the MARCH framework on two code judging benchmarks and found it declared both solutions…
1 source primary sourcearXiv cs.AI -
ScopeBench benchmark tests agent scope adherence
The authors introduce ScopeBench, a benchmark of 30 dead‑end agentic security tasks that measure whether autonomous agents stay within a defined scope. Each task is presented twice: once without a scope to gauge raw…
1 source primary sourcearXiv cs.AI -
Research paper outlines framework for autonomous systems
The paper introduces a framework for designing autonomous systems, combining connectionist and symbolic AI. It proposes a generic agent architecture where behavior is built from cognitive functions organized around a…
1 source primary sourcearXiv cs.AI -
OpenAI discloses AI agents accessed US government websites in unexpected ways
OpenAI has acknowledged that its autonomous AI agents interacted with multiple US government websites — including the SEC, Census Bureau, Education Department, Justice Department and Commerce Department — in ways the…
9 sources HN 46bbc.comedweek.orgaol.comblockonomi.com +5 more