AI news archive.
10,659 articles filed under Research, newest first, from the outlets listed on the sources page.
- Ai2 BlogresearchImpactful scheduling for GPU clusters
We explain how Ai2’s new GPU scheduler uses time budgets, fair-share allocation, and time-slicing to prioritize high-impact research, shorten queue waits, and keep GPUs busy.
- arXiv cs.AIresearchAn Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment
arXiv:2610.10541v1 Announce Type: new Abstract: Knowledge Graph (KG) quality depends not only on downstream graph validation, but also on the quality of tabular metadata used before integration. In metadata-only Semantic…
- arXiv cs.AIresearchWhose Ground Truth? Embracing Ambiguity in Human-Centered AI
arXiv:2610.10805v1 Announce Type: new Abstract: As AI systems increasingly interact with people and make decisions about them, understanding human interpretations becomes an important part of developing human-centered AI…
- arXiv cs.AIresearchSelf-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning
arXiv:2610.10857v1 Announce Type: new Abstract: Behavior cloning (BC) in non-Markovian environments is a challenging problem because policies have to reason over contextual information over long horizons. Existing policy…
- arXiv cs.AIresearchLearning How to Search for Plans with Exponentially Less Space
arXiv:2610.10954v1 Announce Type: new Abstract: Heuristic search for a plan can store exponentially many states, even when its heuristic is almost perfect. We instead learn search control, one specification per domain, w…
- arXiv cs.AIresearchHow Narrative Wrapping Affects LLM Refusal: A Cross-Language Benchmark and Defense
arXiv:2610.11005v2 Announce Type: replace Abstract: Safety-aligned language models often refuse a harmful request stated directly but answer the same request inside a role-play or narrative wrapper. We measure this vulne…
- arXiv cs.AIresearchDistillation for Incrimination and Distillation for Capabilities
arXiv:2610.11012v1 Announce Type: new Abstract: Powerful misaligned AI models might recognize alignment evaluations and strategically behave well on them, rendering direct audits uninformative. However, distilling such a…
- arXiv cs.AIresearchBeyond Imitation: A Framework and Benchmark for LLM-Assisted Peer Review
arXiv:2610.11087v1 Announce Type: new Abstract: The rapid growth of scientific publishing has strained peer review, particularly in machine learning, raising concerns about declining review quality and increasing reviewe…
- arXiv cs.AIresearchOpenProblemBench: Benchmarking AI on Open Problems in the Foundational Theoretical Sciences
arXiv:2610.11118v1 Announce Type: new Abstract: The next frontier for artificial general intelligence is tackling unresolved scientific problems, calling for benchmarks that assess progress beyond established knowledge.…
- arXiv cs.AIresearchBalancing Reference Guidance and Free Generation in Trajectory Rollouts for Reasoning RL
arXiv:2610.11128v1 Announce Type: new Abstract: A verified reference solution provides a correct trajectory for training a reasoning model. Alternatively, a prefix of the reference can guide the model in generating a tra…
- arXiv cs.AIresearchGameCommBench: A Unified Benchmark and Type-Aware Evaluation for AI-Generated Game Commentary
arXiv:2610.11129v1 Announce Type: new Abstract: Game commentary is an open-ended generation task requiring multimodal perception, strategic reasoning, and contextual knowledge. Existing AI-Generated Game Commentary (AI-G…
- arXiv cs.AIresearchSocial Pain Disrupts Emotion-Action Brain-State Dynamics in Adolescents with Non-Suicidal Self-Injury
arXiv:2610.11155v1 Announce Type: new Abstract: Non-suicidal self-injury (NSSI) is prevalent among adolescents with depression, but the rapid brain-state dynamics linking social distress to maladaptive behavior remain un…
- arXiv cs.AIresearchAliO: Output Alignment Matters in Long-Term Time Series Forecasing
arXiv:2610.11213v2 Announce Type: replace Abstract: Long-term Time Series Forecasting (LTSF) tasks, which leverage the current data sequence as input to predict the future sequence, have become increasingly crucial in re…
- arXiv cs.AIresearchWhen Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization
arXiv:2610.11226v1 Announce Type: new Abstract: Weight-only post-training quantization (PTQ) relies heavily on reconstruction loss minimization to preserve model quality at low precision. We show that the weights favored…
- arXiv cs.AIresearchHarness Compilation: Which Decisions Should a Small Vision-Language Model Keep?
arXiv:2610.11231v1 Announce Type: new Abstract: Small vision-language models may be able to read external evidence yet struggle to obtain it. We introduce Harness Compilation (HC), an offline procedure that adapts the di…
- arXiv cs.AIresearchORDO: Operation-level Round-aware Dynamic Ordering for MIP Presolve
arXiv:2610.11294v1 Announce Type: new Abstract: Presolve strongly affects mixed-integer programming (MIP) performance, yet learning-based methods only optimize parameter configurations and cannot express the non-commutat…
- arXiv cs.AIresearchDivMoE: Fine-Grained MoE Upcycling via Cross-Domain Expert Composition
arXiv:2610.11317v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) architectures have become essential for scaling large language models, with recent work demonstrating the benefits of fine-grained expert designs.…
- arXiv cs.AIresearchFinsler Flow Matching: Dynamics-Aware Geodesic Interpolation for Single-Snapshot Trajectory Inference
arXiv:2610.11318v1 Announce Type: new Abstract: Single-cell snapshot data can resolve a continuum of cellular states but do not uniquely determine the dynamics governing transitions between them. However, additional dyna…
- arXiv cs.AIresearchTokenBank: Financial Infrastructure for AI Services
arXiv:2610.11333v1 Announce Type: new Abstract: AI services incur inference costs during execution, while revenue may arrive later. Changing API prices, limited upfront capital, and service failures can limit operators'…
- arXiv cs.AIresearchEvoSim: Learning to Model, Modeling to Learn
arXiv:2610.11344v1 Announce Type: new Abstract: Physics-based models connect scientific explanation with quantitative prediction. Constructing them requires selecting physical processes, defining states and governing equ…
- arXiv cs.AIresearchRL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty
arXiv:2610.11352v1 Announce Type: new Abstract: Language models (LMs) are commonly trained with Reinforcement Learning with Verifiable Rewards (RLVR) to enhance their reasoning capabilities. However, since RLVR does not…
- arXiv cs.AIresearchDefensive Writing in GPT Models
arXiv:2610.11355v2 Announce Type: replace Abstract: Researchers increasingly use ChatGPT to revise their papers, and when asked to make a paper hold up under review, recent GPT versions often narrow or even retract the a…
- arXiv cs.AIresearchUniData: Universal Multimodal Instruction Generation Pipeline
arXiv:2610.11363v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) are increasingly being applied in a wider range of real-world scenarios. However, due to the substantial labor cost, creating high-…
- arXiv cs.AIresearchEqual Path Cost, Unequal Output Effects: Understanding Perturbation Propagation in Diffusion Models
arXiv:2610.11380v1 Announce Type: new Abstract: Diffusion models have achieved remarkable success in generative modeling, with their sampling procedures routinely modified to control generation and improve efficiency. Th…
- arXiv cs.AIresearchTypedBench: A Benchmark for Calibration, Framing Sensitivity, and Cost in System One Decision Models
arXiv:2610.11392v2 Announce Type: replace Abstract: System One models output calibrated probabilities over typed answers such as categorical choices, ordinal levels, or binary outcomes, via a non-generative interface. So…
- arXiv cs.AIresearchEstimating Great Expectations Under Autoregressive Language Models with Potentials
arXiv:2610.11399v3 Announce Type: replace Abstract: Many applications of language models require estimating the expectation of a test functional under the model. Obtaining precise estimates can be computationally expensi…
- arXiv cs.AIresearchCognition-Oriented Emotion Tracing from Causes to Consequences in Real-World Social Scenes
arXiv:2610.11410v2 Announce Type: replace Abstract: Affective computing has progressed from categorical emotion recognition to open-ended affective analysis with large multimodal models. Yet affective science describes e…
- arXiv cs.AIresearchWhy machines will still not rule the world
arXiv:2610.11424v1 Announce Type: new Abstract: In our book Why machines will never rule the world [13, 14] we argue that arti- ficial general intelligence is mathematically impossible. This is because the human beings a…
- arXiv cs.AIresearchSpikeSSL: A Universal Spike Inference Framework with Dynamics-Informed State-Space Layers
arXiv:2610.11456v1 Announce Type: new Abstract: Two-photon calcium imaging is a standard tool for recording large neural populations in vivo, yet inferring spikes accurately across the growing diversity of calcium indica…
- arXiv cs.AIresearchFrom Chain-of-Thought to Loops: Non-Autoregressive Latent Reasoning via Looped Transformers
arXiv:2610.11472v1 Announce Type: new Abstract: Chain-of-thought (CoT) reasoning often improves language-model performance by giving models additional computation before answering. However, explicit CoT expresses this co…
- arXiv cs.AIresearchFed-GRPO: Reward-Signal-Driven Federated Group Relative Policy Optimization
arXiv:2610.11502v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown strong reasoning capabilities when fine-tuned with reinforcement learning (RL), particularly through Group Relative Policy Optimizat…
- arXiv cs.AIresearchAtomWorld-Mirror: Macro-Step World Modeling of Critical Evolution Backbones for Materials Dynamics
arXiv:2610.11527v2 Announce Type: replace Abstract: Atomistic simulation is a fundamental tool for studying long-term materials evolution, from diffusion and defect dynamics to interfacial reactions and fracture. Yet con…
- arXiv cs.AIresearchReTeach: Building a Self-Teacher through Multi-Round Reflection and Retry
arXiv:2610.11529v1 Announce Type: new Abstract: Self-distillation can improve reasoning without a separately trained, more capable teacher, but its effectiveness depends on how the self-teacher gains an advantage over th…
- arXiv cs.AIresearchScaling to Tens of Thousands of Test-Time Iterations with Loop-Native Attention Residuals
arXiv:2610.11570v2 Announce Type: replace Abstract: In this paper, we argue that Looped Transformers need their own residual connections to prevent performance degradation as the number of iterations grows. We first intr…
- arXiv cs.AIresearchWhere to Adapt Matters: Layer-Selective Fine-Tuning for Capability Retention
arXiv:2610.11620v1 Announce Type: new Abstract: Parameter-efficient fine-tuning (PEFT) enables large language models (LLMs) to adapt to specialized tasks, but often at the cost of degrading general capabilities acquired…
- arXiv cs.AIresearchA 3D Characterization Framework for Intelligent Sequential Decision Making
arXiv:2610.11696v1 Announce Type: new Abstract: Puzzles are widely used to evaluate the reasoning capabilities of artificial intelligence (AI) systems for sequential decision making, yet approaches originating from diffe…
- arXiv cs.AIresearchIntervention anchors and scientific verification in synthetic vascular predictive representations
arXiv:2610.11704v1 Announce Type: new Abstract: Complete orthogonal predictive coordinates do not by themselves bind a latent direction to a named intervention. We present a mathematical and synthetic audit motivated by…
- arXiv cs.AIresearchInternalizer: Portable Context-to-Parameter Mapping for Very Large Language Models
arXiv:2610.11715v1 Announce Type: new Abstract: Hypernetworks that map a context directly to a LoRA adapter let a large language model carry that context in its weights, but prior work has demonstrated them only on base…
- arXiv cs.AIresearchMultiWorldBench: Do Independently Controlled Views Describe One Shared World?
arXiv:2610.11723v4 Announce Type: replace Abstract: Multiplayer world models must ensure that independently controlled views remain consistent with a single shared and persistent world. We introduce MultiWorldBench, a di…
- arXiv cs.AIresearchOnboard Marine Anomaly Detection on $\Phi$sat-2: From Simulation-Based Development to In-Orbit Demonstration
arXiv:2610.11735v1 Announce Type: new Abstract: Onboard Artificial Intelligence can improve responsiveness and bandwidth efficiency of Earth Observation systems by processing data directly on the satellite. This paper pr…
- arXiv cs.AIresearchScalable AI Uncertainty Quantification via Generalized Laplace Active Subspaces
arXiv:2610.11738v1 Announce Type: new Abstract: Reliable uncertainty quantification (UQ) is essential for deploying neural networks in scientific and high-stakes applications, but full Bayesian inference over the network…
- arXiv cs.AIresearchWhere Draft Trees Lose Target Mass: Exit-Guided Speculative Decoding
arXiv:2610.11750v1 Announce Type: new Abstract: Tree-based speculative decoding verifies multiple draft continuations in one target-model pass, but finite trees built from draft scores face a fundamental draft-target mis…
- arXiv cs.AIresearchRouterInterp: Understanding Superposed Specialisation in Mixture of Experts Routing
arXiv:2610.11775v1 Announce Type: new Abstract: Sparse Mixture of Experts (MoE) models scale more efficiently than dense models by routing tokens to modular expert networks that are only active for processing a fraction…
- arXiv cs.AIresearchProbability-Signature Dynamics: Unpacking Modular Addition Learning Within Two-Layer Networks
arXiv:2610.11833v1 Announce Type: new Abstract: Neural networks trained on modular addition tasks often develop Fourier-structured representations that support exact generalization. While prior work has identified these…
- arXiv cs.AIresearchLEVER: Adaptive Cost-Aware Proof Search Over AND/OR Graphs
arXiv:2610.11862v1 Announce Type: new Abstract: Mathematicians value proofs for more than correctness: among correct proofs, simplicity, purity and the computational cost of finding them vary widely. Yet LLM-powered theo…
- arXiv cs.AIresearchHow Is Automated Research Evaluated? A Survey of Benchmarks and Evaluation Practices
arXiv:2610.11877v1 Announce Type: new Abstract: Automated research systems support literature synthesis, ideation, experiments, writing, and peer review, but their evaluation is dispersed across tasks, benchmarks, and st…
- arXiv cs.AIresearchMindFlow: Mind Supernet Powered Thinking Flows for Research Idea Innovation
arXiv:2610.11966v1 Announce Type: new Abstract: Research idea innovation is a fundamental engine of scientific progress, yet it remains difficult to generate and evaluate in a scalable and controllable way. This challeng…
- arXiv cs.AIresearchMetaOPD: Meta-Learned Token Weighting for On-Policy Distillation
arXiv:2610.11989v1 Announce Type: new Abstract: On-policy distillation (OPD) trains a student on its own generated responses using token-level teacher supervision. However, uniform weighting overlooks differences in toke…
- arXiv cs.AIresearchAn Interpretable Approach to PDE Solution Discovery via Structural Experience Distillation
arXiv:2610.12003v1 Announce Type: new Abstract: PDE solution discovery aims to identify explicit symbolic expressions for unknown physical fields from observations under known physical constraints. Existing methods, howe…
- arXiv cs.AIresearchComplexity of Grounded Semantics and Preferred Semantics in Finitary Argumentation Frameworks
arXiv:2610.12008v1 Announce Type: new Abstract: Abstract argumentation frameworks (AFs) introduced by Dung provide a formal foundation for non-monotonic reasoning in artificial intelligence. While decision problems for g…