AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchReDraft, Don't Just Distill: Reference-Driven Revision for Continual VLLM Post-Training
arXiv:2609.16639v3 Announce Type: replace Abstract: Continual post-training of large multimodal models should add new capabilities while preserving those from pre-training, and the two goals pull in opposite directions.…
- arXiv cs.AIresearchBeyond Episodic AI: Cognitive Field Networks for Biologically Inspired Persistent Cognition
arXiv:2609.16752v3 Announce Type: replace Abstract: Cognitive Field Theory describes cognition as memory-dressed collective dynamics, in which slow relaxation modes support a persistent cognitive field. By connecting non…
- arXiv cs.AIagentsJustFit: Just-in-Time State Management for Local LLM Serving
arXiv:2609.17475v3 Announce Type: replace Abstract: Local agents need memory for model execution and working history. We present JustFit, an MLX runtime that coordinates their overlapping allocations: KVExec executes and…
- arXiv cs.AIresearchReflective Policy Optimization
arXiv:2406.03678v2 Announce Type: replace-cross Abstract: On-policy reinforcement learning methods, like Trust Region Policy Optimization (TRPO) and Proximal Policy Optimization (PPO), often demand extensive data per upd…
- arXiv cs.AIresearchA Mathematical Framework and a Suite of Learning Techniques for Neural-Symbolic Systems
arXiv:2407.09693v3 Announce Type: replace-cross Abstract: The field of Neural-Symbolic (NeSy) systems is growing rapidly. Proposed approaches show great promise in achieving symbiotic unions of neural and symbolic method…
- arXiv cs.AIresearchOptimal Symmetries in Binary Classification
arXiv:2408.08823v2 Announce Type: replace-cross Abstract: We develop a theoretical foundation for designing group-equivariant neural networks that align the choice of symmetries with the underlying probability distributi…
- arXiv cs.AIresearchStreaming Deep Reinforcement Learning Finally Works
arXiv:2410.14606v3 Announce Type: replace-cross Abstract: Learning from a stream of experience as it arrives, also known as streaming learning, is a core part of natural learning. However, reliable streaming learning has…
- arXiv cs.AIresearchA Course Intelligence Platform for Higher Education: Lessons from AI-Assisted Course Evaluation
arXiv:2411.02455v3 Announce Type: replace-cross Abstract: The rapid adoption of generative AI has created new opportunities for teaching, learning, and quality assurance. Existing applications, however, remain largely st…
- arXiv cs.AIagentsEnhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications
arXiv:2411.15042v3 Announce Type: replace-cross Abstract: Addressing the challenge of ensuring safety in ever-changing and unpredictable environments, particularly in the swiftly advancing realm of autonomous driving in…
- arXiv cs.AIresearchHow Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?
arXiv:2412.07813v5 Announce Type: replace-cross Abstract: To alleviate the training burden in federated learning while enhancing convergence speed, Split Federated Learning (SFL) has emerged as a promising approach by co…
- arXiv cs.AIresearchLogits are All We Need to Adapt Closed Models
arXiv:2502.06806v5 Announce Type: replace-cross Abstract: Many commercial Large Language Models (LLMs) are often closed-source, limiting developers to prompt tuning for aligning content generation with specific applicati…
- arXiv cs.AIresearchEnhancing the Non-Functional Quality Compliance of LLM-Generated Code through Quality-Aware Preference Learning
arXiv:2503.09020v5 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have been widely adopted in commercial code completion engines, significantly enhancing coding efficiency and productivity. However,…
- arXiv cs.AIresearchDisassociating performance from compositional feature learning
arXiv:2505.09716v4 Announce Type: replace-cross Abstract: Out-of-distribution (OOD) generalisation through composition requires a system to discover invariant properties from input-output associations and transfer them t…
- arXiv cs.AIresearchMMS-VPR: A Fine-Grained Multimodal Street-Level Visual Place Recognition Dataset and Evaluation Benchmark for Dense Pedestrian Environments
arXiv:2505.12254v3 Announce Type: replace-cross Abstract: Existing visual place recognition (VPR) datasets predominantly rely on vehicle-mounted imagery, offer limited multimodal diversity, and underrepresent dense pedes…
- arXiv cs.AIresearchExplain Less, Understand More: Data-Efficient Personalization of Reader-Dependent Jargons
arXiv:2505.16227v4 Announce Type: replace-cross Abstract: Personalizing jargon detection and explanation is essential for making technical documents accessible to readers with diverse disciplinary backgrounds. However, t…
- arXiv cs.AIresearchLingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
arXiv:2506.07044v5 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities in understanding common visual elements, largely due to their large-scale datas…
- arXiv cs.AIresearchUnlocking Pretrained Vision Transformers for Time Series Classification
arXiv:2506.08641v3 Announce Type: replace-cross Abstract: Adapting vision models for time series analysis is compelling, yet all existing approaches are falling short of dedicated time series foundation models (TSFMs) in…
- arXiv cs.AIresearchCalibrating Lightweight Sparse Autoencoder Feature Steering
arXiv:2506.12576v3 Announce Type: replace-cross Abstract: Sparse autoencoders (SAEs) can enable inference-time topic steering by modifying latent feature activations, but existing steering methods often fail when target-…
- arXiv cs.AIresearchDiscrete Tokenization for Multimodal LLMs: A Comprehensive Survey
arXiv:2507.22920v2 Announce Type: replace-cross Abstract: The rapid advancement of large language models (LLMs) has intensified the need for effective mechanisms to transform continuous multimodal data into discrete repr…
- arXiv cs.AIresearchSalQ-VLM: Fine-Grained Saliency-Guided Quantization for Vision-Language Models
arXiv:2508.03351v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have demonstrated remarkable capabilities across diverse language tasks, motivating their extension to vision-language models (VLMs)…
- arXiv cs.AIresearchADSEL: Adaptive Dual Self-Expression Learning for EEG Feature Selection via Incomplete Multi-Dimensional Emotion Labels
arXiv:2508.05229v2 Announce Type: replace-cross Abstract: EEG based multi-dimension emotion recognition has attracted substantial research interest in affective computing. However, the high dimensionality of EEG features…
- arXiv cs.AIresearchBiased AI improves human performance but reduces perceived helpfulness
arXiv:2508.09297v4 Announce Type: replace-cross Abstract: Artificial intelligence (AI) increasingly shapes how people think, engage, and evaluate information. To minimize risk, most current systems are designed to presen…
- arXiv cs.AIresearchBridgeShield: Risk-Aware Graph Modeling for Cross-Chain Bridge Attack Detection
arXiv:2508.20517v2 Announce Type: replace-cross Abstract: Cross-chain bridges enable asset and state transfers across heterogeneous blockchains, but their complex cross-domain interactions introduce new attack surfaces t…
- arXiv cs.AIagentsHumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
arXiv:2509.08494v2 Announce Type: replace-cross Abstract: As humans delegate more tasks and decisions to artificial intelligence (AI), we risk losing control of our individual and collective futures. Relatively simple al…
- arXiv cs.AIresearchRecidivism Prediction, Peer Effect Estimation, and Prediction-Powered Inference with LLM Text Measures
arXiv:2509.20634v3 Announce Type: replace-cross Abstract: We provide a new framework for estimating peer effects when outcomes are multivariate behavioral measures derived from written text using an LLM and the network f…
- arXiv cs.AIresearchIncorporating LLM Embeddings for Variation Across the Human Genome
arXiv:2509.20702v3 Announce Type: replace-cross Abstract: Recent advances in large language model (LLM) embeddings have enabled powerful representations for biological data, but most applications to date focus on gene-le…
- arXiv cs.AIresearchWhat Is The Political Content in LLMs' Pre- and Post-Training Data?
arXiv:2509.22367v3 Announce Type: replace-cross Abstract: Large language models (LLMs) reflect politically-slanted opinions in their generated text. Even though it is widely assumed that model behavior stem from training…
- arXiv cs.AIresearchVRWKV-Editor: Reducing quadratic complexity in transformer-based video editing
arXiv:2509.25998v4 Announce Type: replace-cross Abstract: In light of recent progress in video editing, deep learning models focusing on both spatial and temporal dependencies have emerged as the primary method. However,…
- arXiv cs.AIagentsToward an Unbiased Collective Memory for Efficient LLM-Based Agentic 6G Cross-Domain Management
arXiv:2509.26200v2 Announce Type: replace-cross Abstract: Agentic artificial intelligence is a candidate enabler of Level-4 autonomy in sixth-generation (6G) networks, but agents reasoning over a shared memory inherit it…
- arXiv cs.AIresearchSPID: Distilled Protein Backbone Generation
arXiv:2510.03095v4 Announce Type: replace-cross Abstract: Diffusion- and flow-based generative models have recently demonstrated strong performance in protein backbone generation tasks, offering unprecedented capabilitie…
- arXiv cs.AIresearchBimanual 3D Hand Motion and Articulation Forecasting in Everyday Images
arXiv:2510.06145v2 Announce Type: replace-cross Abstract: We tackle the problem of forecasting bimanual 3D hand motion and articulation from a single image in everyday settings. To address the lack of 3D hand annotations…
- arXiv cs.AIresearchAccelerated stochastic first-order method for convex optimization under heavy-tailed noise
arXiv:2510.11676v2 Announce Type: replace-cross Abstract: We study convex composite optimization problems, where the objective function is given by the sum of a prox-friendly function and a convex function whose subgradi…
- arXiv cs.AIresearchBreakFun: Jailbreaking LLMs via Object Instantiation under Simulated Code Execution
arXiv:2510.17904v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are widely used because they process structures, syntax and code well, but this same ability also makes them paradoxically vulnerable…
- arXiv cs.AIresearchHeterogeneous Robot Collaboration in Unstructured Environments with Grounded Generative Intelligence
arXiv:2510.26915v2 Announce Type: replace-cross Abstract: While heterogeneous teams have typically been designed for well-specified missions with known semantics, generative intelligence, i.e., large language models (LLM…
- arXiv cs.AIresearchGround-Truth Subgraphs for Better Training and Evaluation of Knowledge Graph Augmented LLMs
arXiv:2511.04473v4 Announce Type: replace-cross Abstract: Retrieval of information from graph-structured knowledge bases represents a promising direction for improving the factuality of LLMs. While various solutions have…
- arXiv cs.AIresearchBudgetMem: Training-Free Selective Memory for Cost-Efficient Long-Context Processing in Language Models
arXiv:2511.04919v3 Announce Type: replace-cross Abstract: Processing long documents with large language models (LLMs) is expensive: a single query over a 100K-token document can cost from tens of cents to over a dollar i…
- arXiv cs.AIresearchDiffusion Model in Latent Space for Medical Image Segmentation Task
arXiv:2512.01292v5 Announce Type: replace-cross Abstract: Medical image segmentation is crucial for clinical diagnosis and treatment planning. Traditional methods typically produce a single segmentation mask, failing to…
- arXiv cs.AIresearchTime Series Foundation Models for Process Model Forecasting
arXiv:2512.07624v3 Announce Type: replace-cross Abstract: Process Model Forecasting (PMF) aims to predict how the control-flow structure of a process evolves over time by modeling the temporal dynamics of directly-follow…
- arXiv cs.AIagentsA Human-AI Collaborative Workflow for Mathematical Discovery: A Case Study in Grover-Compatible Riemannian Optimization
arXiv:2512.09443v3 Announce Type: replace-cross Abstract: We investigate how large language models can be used as research tools in scientific computing while preserving mathematical rigor. We propose a human-in-the-loop…
- arXiv cs.AIresearchSlot-ID: Identity-Preserving Video Generation from Reference Videos via Slot-Based Temporal Identity Encoding
arXiv:2601.01352v2 Announce Type: replace-cross Abstract: Human identity-preserving text-to-video generation remains challenging under large changes in viewpoint, facial expression, illumination, and motion. Existing met…
- arXiv cs.AIresearchDecoding Order Matters in Autoregressive Speech Synthesis
arXiv:2601.08450v2 Announce Type: replace-cross Abstract: Autoregressive speech synthesis often adopts a left-to-right order, yet generation order is a modelling choice. We investigate decoding order through masked diffu…
- arXiv cs.AIresearchILRR: Inference-Time Steering Method for Masked Diffusion Language Models
arXiv:2601.21647v2 Announce Type: replace-cross Abstract: Discrete Diffusion Language Models (DLMs) offer a promising non-autoregressive alternative for text generation, yet effective mechanisms for inference-time contro…
- arXiv cs.AIresearchHybridFlow: A 2-NFE Generative Policy for Real-Time Robotic Manipulation
arXiv:2602.13718v2 Announce Type: replace-cross Abstract: Generative policies for robotic manipulation must balance action accuracy with inference latency. We present HybridFlow, a three-stage policy inference procedure…
- arXiv cs.AIresearchSOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport
arXiv:2602.23353v3 Announce Type: replace-cross Abstract: The Platonic Representation Hypothesis posits that neural networks trained on different modalities converge toward a shared statistical model of the world. Recent…
- arXiv cs.AIagents"When to Hand Off, When to Work Together": Understanding Concurrent Human-Agent Interaction in Shared Co-Creative Workspaces
arXiv:2603.02050v5 Announce Type: replace-cross Abstract: Shared co-creative workspaces allow users to contribute while agents execute. Yet how users adjust their participation as their work and the agent's execution sha…
- arXiv cs.AIresearchScaling Laws of SignSGD in Linear Regression: When Does It Outperform SGD?
arXiv:2603.02069v2 Announce Type: replace-cross Abstract: We study scaling laws of signSGD under a power-law random features (PLRF) model that accounts for both feature and target decay. We analyze the population risk of…
- arXiv cs.AIresearchWhen Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning
arXiv:2603.02266v2 Announce Type: replace-cross Abstract: Test-Time Scaling has shown notable efficacy in addressing complex problems through scaling inference compute. However, within Large Audio-Language Models (LALMs)…
- arXiv cs.AIresearchAn Interpretable, Controllable Time-Varying IIR Denoiser for On-Device Assistive Hearing
arXiv:2603.02794v4 Announce Type: replace-cross Abstract: We present TVBC (Time-Varying Biquad Cascade), an interpretable, low-latency speech enhancement model for real-time, on-device assistive hearing. A lightweight ne…
- arXiv cs.AIagentsCognition to Control - Multi-Agent Learning for Human-Humanoid Collaborative Transport
arXiv:2603.03768v2 Announce Type: replace-cross Abstract: Full-stack human-robot collaboration (HRC) can become brittle when replacing a planner, partner model, coordination policy, or controller changes the physical mea…
- arXiv cs.AIresearchDial: A Knowledge-Grounded Dialect-Specific NL2SQL System
arXiv:2603.07449v2 Announce Type: replace-cross Abstract: Enterprises commonly deploy heterogeneous database systems, each of which owns a distinct SQL dialect with different syntax rules, built-in functions, and executi…