AI news archive.
10,659 articles filed under Research, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchLeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices
arXiv:2503.15889v2 Announce Type: replace-cross Abstract: While there are many advantages to deploying machine learning models on edge devices, the resource constraints of mobile platforms, the dynamic nature of the envi…
- arXiv cs.AIresearchA Gradient-Optimized TSK Fuzzy Framework for Explainable Phishing Detection
arXiv:2504.18636v2 Announce Type: replace-cross Abstract: Phishing attacks represent an increasingly sophisticated and pervasive threat to individuals and organizations, causing significant financial losses, identity the…
- arXiv cs.AIresearchTwo Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
arXiv:2505.10597v3 Announce Type: replace-cross Abstract: Reward models (RMs) are central to aligning large language models (LLMs) with human values, yet noisy preference feedback can induce reward misgeneralization thro…
- arXiv cs.AIresearchSafety Alignment via Constrained Knowledge Unlearning
arXiv:2505.18588v2 Announce Type: replace-cross Abstract: Despite significant progress in safety alignment, large language models (LLMs) remain susceptible to jailbreak attacks. Existing defense mechanisms have not fully…
- arXiv cs.AIresearchGPT, But Backwards: Exactly Inverting Language Model Outputs
arXiv:2507.01693v3 Announce Type: replace-cross Abstract: Recent work shows that distinct inputs produce distinct hidden representations in LLMs, so the input can in principle be recovered from them. Yet, no existing met…
- arXiv cs.AIresearchMissing value imputation with adversarial random forests - MissARF
arXiv:2507.15681v2 Announce Type: replace-cross Abstract: Handling missing values is a common challenge in biostatistical analyses, typically addressed by imputation methods. We propose a novel, fast, and easy-to-use imp…
- arXiv cs.AIresearchCross-Layer Attention Probing for Fine-Grained Hallucination Detection
arXiv:2509.09700v2 Announce Type: replace-cross Abstract: With the large-scale adoption of Large Language Models (LLMs) in various applications, there is a growing reliability concern due to their tendency to generate in…
- arXiv cs.AIresearchRep2Text: Decoding Full Text from a Single LLM Token Representation
arXiv:2511.06571v4 Announce Type: replace-cross Abstract: Large language models represent text as hidden numerical patterns, but what information these representations actually contain remains a mystery. Can we recover t…
- arXiv cs.AIresearchAQUA-Net: Adaptive Frequency Fusion and Illumination Aware Network for Underwater Image Enhancement
arXiv:2512.05960v2 Announce Type: replace-cross Abstract: Underwater images often suffer from severe color distortion, low contrast, and a hazy appearance due to wavelength-dependent light absorption and scattering. Simu…
- arXiv cs.AIresearchAI-exposed jobs deteriorated before ChatGPT
arXiv:2601.02554v2 Announce Type: replace-cross Abstract: Public debate links worsening job prospects for AI-exposed occupations to the release of ChatGPT in late 2022. Using monthly U.S. unemployment insurance records,…
- arXiv cs.AIresearchPro-AI Bias in Large Language Models
arXiv:2601.13749v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly employed for decision-support across multiple domains. We ask whether these models favor artificial intelligence (AI…
- arXiv cs.AIresearchHappy Young Women, Grumpy Old Men? Emotion-Driven Demographic Biases in Synthetic Face Generation
arXiv:2602.00032v4 Announce Type: replace-cross Abstract: Synthetic faces from text-to-image (T2I) models pervade digital media, yet their demographic biases under emotionally conditioned prompts remain poorly understood…
- arXiv cs.AIresearchInter- and Intra-Subject Variability in EEG: A Systematic Survey
arXiv:2602.01019v2 Announce Type: replace-cross Abstract: Electroencephalography (EEG) underpins neuroscience, clinical neurophysiology, and brain-computer interfaces (BCIs), yet pronounced inter- and intra-subject varia…
- arXiv cs.AIresearchScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video
arXiv:2602.07891v2 Announce Type: replace-cross Abstract: Geometric foundation models show promise in 3D reconstruction. However, their progress is severely constrained by the scarcity of diverse, large-scale 3D annotati…
- arXiv cs.AIresearchOMEGA-Avatar: One-shot Modeling of 360{\deg} Gaussian Avatars
arXiv:2602.11693v2 Announce Type: replace-cross Abstract: Creating high-fidelity, animatable 3D avatars from a single image remains a formidable challenge. We identified three desirable attributes of avatar generation: 1…
- arXiv cs.AIresearchHydroShear: Hydroelastic Shear Simulation for Tactile Sim-to-Real Reinforcement Learning
arXiv:2603.00446v2 Announce Type: replace-cross Abstract: In this paper, we address the problem of tactile sim-to-real policy transfer for contact-rich tasks. Existing methods primarily focus on vision-based sensors and…
- arXiv cs.AIresearchM$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling
arXiv:2603.14360v3 Announce Type: replace-cross Abstract: Transformers are highly parallel but are limited to computations in the TC$^0$ complexity class, excluding tasks such as entity tracking and code execution that p…
- arXiv cs.AIresearchUnderstanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift
arXiv:2603.17372v3 Announce Type: replace-cross Abstract: Large vision-language models (VLMs) often exhibit weakened safety alignment with the integration of the visual modality. Even when text prompts contain explicit h…
- arXiv cs.AIresearchSuppression of $^{14}\mathrm{C}$ photon hits in large liquid scintillator detectors via spatiotemporal deep learning
arXiv:2603.27727v2 Announce Type: replace-cross Abstract: Liquid scintillator detectors are widely used in neutrino experiments due to their low energy threshold and high energy resolution. Despite the tiny abundance of…
- arXiv cs.AIresearchWorst-Case Optimal $\sqrt{\epsilon}$-Rate Stability of KL Divergence under Perturbations of Gaussian Distributions
arXiv:2604.11026v4 Announce Type: replace-cross Abstract: We establish a stability bound for the Kullback-Leibler (KL) divergence when its Gaussian reference distribution is perturbed. Existing relaxed triangle inequalit…
- arXiv cs.AIresearchOmniTrace: A Unified Framework for Generation-Time Source Attribution in Omni-Modal LLMs
arXiv:2604.13073v2 Announce Type: replace-cross Abstract: An omni-modal language model can answer a question about a multimodal document, a recording, or a video, but it cannot show which part of the input the answer cam…
- arXiv cs.AIresearchAlgorithmic Primitives of Theory of Mind Benchmarks
arXiv:2604.17819v2 Announce Type: replace-cross Abstract: Do Theory of Mind (ToM) benchmarks really test theory of mind, or are they actually testing parsing and algorithmic state tracking? While benchmarks vary modality…
- arXiv cs.AIresearchActivation-Efficient Fine-Tuning via Sequence-Compressed Low-Rank Subspaces
arXiv:2604.22783v2 Announce Type: replace-cross Abstract: Parameter-Efficient Fine-Tuning (PEFT) has become the standard approach for adapting large language models (LLMs). However, despite reducing trainable parameter c…
- arXiv cs.AIresearchInterpretable experiential learning based on state history and global feedback
arXiv:2605.00940v2 Announce Type: replace-cross Abstract: A new interpretable experiential learning model based on state history and global feedback is presented. It is capable of learning a behavioral model represented…
- arXiv cs.AIresearchLearning reveals invisible structure in low-rank RNNs
arXiv:2605.04115v2 Announce Type: replace-cross Abstract: Learning in neural systems arises from synaptic changes that reshape the representations underlying behavior. While low-rank recurrent neural networks (RNNs) have…
- arXiv cs.AIresearchFaithfulFaces: Pose-Faithful Facial Identity Preservation for Text-to-Video Generation
arXiv:2605.04702v2 Announce Type: replace-cross Abstract: Identity-preserving text-to-video generation (IPT2V) empowers users to produce diverse and imaginative videos with consistent human facial identity. Despite recen…
- arXiv cs.AIresearchMOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series
arXiv:2605.05524v2 Announce Type: replace-cross Abstract: Causal representation learning (CRL) seeks to recover latent variables with identifiability guarantees, typically up to permutation and component-wise reparameter…
- arXiv cs.AIresearchSTRIDE: Reasoning-Aware Training for Time Series Forecasting
arXiv:2605.08625v2 Announce Type: replace-cross Abstract: Time Series Foundation Models (TSFMs) excel at numerical forecasting but operate as black boxes lacking qualitative reasoning. Conversely, applying LLMs directly…
- arXiv cs.AIresearchCIDR: A Large-Scale Industrial Source Code Dataset for Software Engineering Research
arXiv:2605.12153v3 Announce Type: replace-cross Abstract: We present the Curated Industrial Developer Repository (CIDR), a large-scale dataset of real-world software repositories collected from industrial partners. The d…
- arXiv cs.AIresearchRaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations
arXiv:2605.15908v2 Announce Type: replace-cross Abstract: Natural images are continuous, yet most generative models synthesize them on discrete grids, limiting resolution-flexible generation. Continuous neural fields ena…
- arXiv cs.AIresearchHuman-Centered Learning Mechanics: Observable Entropy Control under Protected-Risk Constraints
arXiv:2605.22940v2 Announce Type: replace-cross Abstract: Entropy reduction is not a safety criterion: it can leave predictions unchanged or accompany increasing risk for a protected group. We study entropy-regulated lea…
- arXiv cs.AIresearchFormInv: A Measurement Protocol for Semantic Invariance in Mathematical Reasoning Benchmarks
arXiv:2605.29001v2 Announce Type: replace-cross Abstract: A paraphrase-quality audit of MathCheck (ICLR 2025) detected 4 semantically incorrect paraphrases in 129 groups (3.1%); removing them drops GPT-4o from rank 2 to…
- arXiv cs.AIresearchSciIntBench: Measuring LLM Compliance with Research Integrity Norms Under Adversarial Framing
arXiv:2605.29468v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used to support scientific work, but it is unclear whether they uphold responsible conduct of research (RCR) norms o…
- arXiv cs.AIresearchCauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery
arXiv:2606.03602v2 Announce Type: replace-cross Abstract: Causal discovery from observational data remains challenging due to the fundamental limitations of purely statistical methods, such as statistical distinguishabil…
- arXiv cs.AIresearchTimpaTeks: Automatic In-place Text Sequence Modification via Diffusion Language Model Steering
arXiv:2606.08408v2 Announce Type: replace-cross Abstract: We extend activation steering to diffusion language models (DLMs) and study a novel problem that arose due to the inference mechanism of DLMs: Modifying a text in…
- arXiv cs.AIresearchAccounting for Purchased Artificial Intelligence Inference in Corporate Greenhouse Gas Inventories: A Token-Based Method
arXiv:2606.10660v2 Announce Type: replace-cross Abstract: Purchased artificial intelligence (AI) inference belongs in Scope 3 Category 1 of a corporate greenhouse gas inventory, yet practice omits it or applies a spend-b…
- arXiv cs.AIresearchBeyond Tokenization: Direct Timestep Embedding and Contrastive Alignment for Time-Series Question Answering
arXiv:2606.18986v2 Announce Type: replace-cross Abstract: Recent advances in large language models (LLMs) have given rise to time-series question answering (TSQA), which formulates time-series analysis as natural-languag…
- arXiv cs.AIresearchPruneGround: Plug-and-play Spatial Pruning for 3D Visual Grounding
arXiv:2606.31148v3 Announce Type: replace-cross Abstract: 3D Visual Grounding (3DVG) aims to localize target objects in 3D scenes given natural language descriptions. Existing approaches typically perform reasoning over…
- arXiv cs.AIresearchTORINO: Token Reduction via Interpretable Concept Overlap in Vision-Language Models
arXiv:2607.04593v2 Announce Type: replace-cross Abstract: Vision-Language Models (VLMs) have demonstrated impressive capabilities across different tasks, but their computational cost is dominated by the large number of v…
- arXiv cs.AIresearchIs Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference
arXiv:2607.05475v2 Announce Type: replace-cross Abstract: Deploying Large Language Models (LLMs) on mobile devices enhances privacy and reduces latency, but is severely constrained by hardware inefficiencies. We present…
- arXiv cs.AIresearchKAYROS: An Anytime and Exact Open-Source Solver for Duration-Minimization Time-Dependent Vehicle Routing. A Technical Report and a Case Study in Human-AI Engineering
arXiv:2607.23116v4 Announce Type: replace-cross Abstract: Time-dependent routing recognizes that the same journey can take a different time depending on when it begins. Under duration minimization, even the departure tim…
- arXiv cs.AIresearchEfficient LLM-Generated Shuttling Compilers for Complex Trapped-Ion Architectures
arXiv:2607.24714v2 Announce Type: replace-cross Abstract: Trapped-ion quantum computers rely on shuttling compilers, which cast an input algorithm into a sequence of ion-qubit movements within a given architecture. We pr…
- arXiv cs.AIresearchEKLAV: Elicited Key CoT Learning via Answer only superVision
arXiv:2607.25182v2 Announce Type: replace-cross Abstract: Reasoning distillation trains a student to reproduce both the teacher's chain-of-thought trace and its final answer. We ask whether the trace is better used as pr…
- arXiv cs.AIresearchAn AI Approach to Verified Production Cryptographic Libraries
arXiv:2608.00965v2 Announce Type: replace-cross Abstract: Cryptographic code is critical infrastructure that must be correct, yet formally verifying production libraries remains difficult. Existing language-model proof s…
- arXiv cs.AIresearchDemystifying When and Why VLAs Fail in Contact-Rich Tasks and How to Fix Them
arXiv:2608.01402v2 Announce Type: replace-cross Abstract: We address the problem of understanding when and why Vision-Language-Action models struggle with contact-rich manipulation tasks that require precise physical int…
- arXiv cs.AIresearchMANGO-Grasp: Mahalanobis Fields over Geometry-Oriented 3D Gaussians for Cross-Embodiment Dexterous Grasping
arXiv:2608.02014v2 Announce Type: replace-cross Abstract: Cross-embodiment dexterous grasping aims to synthesize stable grasps across heterogeneous multi-fingered hands with little or no embodiment-specific tuning. Exist…
- arXiv cs.AIresearchRescene: stable century-long climate emulation from a frozen weather model
arXiv:2608.09971v2 Announce Type: replace-cross Abstract: Machine-learning weather models now match or exceed operational numerical prediction in the medium range, but when they are run freely for years they drift, blow…
- arXiv cs.AIresearchBEAR-Bench: A Bilingual Enterprise and Academic Reasoning Benchmark for Multimodal Models
arXiv:2608.17895v2 Announce Type: replace-cross Abstract: While Multimodal Large Language Models (MLLMs) have made significant strides in visual comprehension, their ability to reason about text-dense, professional docum…
- arXiv cs.AIresearchSelf- and Other-Labels Induce Bidirectional Bias in LLM Judges
arXiv:2608.18091v3 Announce Type: replace-cross Abstract: As LLM-as-a-judge becomes increasingly widespread, self-preference -- the tendency of a judge to favor its own outputs -- raises growing concerns about evaluation…
- arXiv cs.AIresearchADEPT: Accelerating Dexterity via Pre-Training and Post-Training using Reinforcement Learning
arXiv:2608.19182v2 Announce Type: replace-cross Abstract: We introduce Accelerating Dexterity via Pre-Training (ADEPT), a large-scale reinforcement learning (RL) framework for learning sim-to-real transferable dexterity…