AI Research news and analysis on Web Pulse: 10050 curated articles tracking the latest AI Research developments, tools, and research, updated continuously from vetted sources.
Austria's State Secretary for Digitalization, Alexander Proell, urged the European Union to host Anthropic after US export controls forced the AI company to disable its frontier models for foreign users. Proell argued Eu…
LG AI Research has obtained ISO 27001 certification for information security across the AI lifecycle, strengthening its position in secure AI systems. The company plans to expand into regulated sectors like healthcare an…
An open-source, bilingual guide explaining the inner workings of Transformers has been published, covering topics such as attention collapse and KV-cache compression with reproducible code. The guide is available in Engl…
A developer argues that agent runtimes lack a session state infrastructure, forcing users to act as the retry protocol when tool calls fail or context overflows. The proposed solution includes a typed, inspectable state …
At the Cannes Lions festival, technology heads from major holding companies discussed the challenges and opportunities of integrating AI into advertising, emphasizing the need for speed, experimentation, and new roles li…
Researchers introduced Tessellating the Earth (TTE), a learnable location encoder using Spherical Voronoi partitions that allocates representational capacity to discriminative areas. TTE sets a new state of the art in ge…
Researchers propose LaViD, a framework that transfers semantic knowledge from a large language model to a vision-only student model using multiple-choice questions, outperforming existing distillation methods on fine-gra…
Researchers introduced Grounded Iterative Language Planning (GILP), a hybrid method combining a small parameterized world model with LLM-based agent reasoning, reducing hallucinated-state rates from 0.176 to 0.035 on gra…
A new position paper argues that the term 'machine unlearning' is overused in large language model research and should be reserved for dataset-defined deletion. The authors contend that many tasks labeled as unlearning, …
Researchers introduced Ko-WideSearch, a Korean breadth-search benchmark for web agents that evaluates exhaustive set enumeration across 228 tables spanning 190 entities. Testing on twenty web agents revealed consistent f…
Researchers introduced Masked Language Flow Models (MLFMs), combining masked diffusion and flow-based methods for efficient language generation. MLFMs enable conditional generation via continuous flows and support multi-…
Researchers introduced Smooth Maximum Mean Discrepancy (SMMD) to improve numerical prediction accuracy in large language models by aligning predicted numeric distributions with targets using distance-based kernels and gr…
Researchers introduced PairSAE, a method for mechanistic interpretability of protein co-folding models that summarizes pairwise tensors into token-level features, avoiding the quadratic blow-up of standard sparse autoenc…
Researchers introduce the Prism Transformer, a new architecture that progressively increases head counts across layers to create a hierarchical attention processing structure. This design improves performance on zero-sho…
Researchers developed a geometry-conditioned Fourier neural operator (FNO) to approximate the solution operator for the cubic nonlinear Schrödinger equation on two-dimensional tori with varying aspect ratios. The model c…
Researchers propose ATOD, a hybrid online distillation algorithm that combines on-policy distillation and reinforcement learning to train small language-model agents for multi-turn tasks. ATOD uses an annealed schedule t…
Researchers at arXiv have discovered that activation patching, a key tool in mechanistic interpretability, contains hidden interaction effects (INT) that can distort causal attributions. These effects, which measure how …
Researchers fine-tuned Gemini 2.5 Pro on 400 clinician-rated home videos to score 30 behavioral features for autism assessment, improving inter-rater reliability with clinicians by 40% and boosting zero-shot ASD diagnosi…
Researchers propose SD-GPS, a solver-driven framework for geometry problem solving that integrates autoformalization and theorem proposing. The framework uses a symbolic solver as an execution oracle to improve formaliza…
Researchers introduced QDiffusion-TS, the first quantum generative diffusion model for time series synthesis, validated on the IQM quantum processor. The model reduces trainable parameters by nearly three orders of magni…