South Korea's KOSPI index surged 18% as investors returned to AI-related stocks, led by SK Hynix and Samsung Electronics, which staged strong recoveries after a punishing sell-off earlier in the week,…
Univé, a Dutch insurance company, built an AI-ready workforce by combining leadership, responsible governance, and employee-led innovation with ChatGPT Enterprise, according to OpenAI. The initiative …
Forbes contributor Zak Doffman reports that Sam Altman's new AI warning signals that existing security models, including zero trust, are unprepared for the coming AI-driven threats. The article argues…
A study by researchers using a YouGov survey of 3,011 U.K. adults found that large language models' alignment with human emotional perception of news framing varies by model, with GPT-5.2 showing the …
A new study from arXiv (2607.27384v1) introduces Narrative Anchoring, a failure mode in clinical language models where identical clinical facts expressed in different sociolinguistic registers cause d…
Researchers propose BridgeAlign, a preference-alignment pipeline for humanities and social sciences (HSS) tasks, which uses 210k synthetic preference samples to align Qwen3-8B, achieving the best aver…
Researchers introduced HSS-Synth, the first data synthesis pipeline for humanities and social sciences, generating 237,000 instruction-tuning samples that outperform 14 leading baselines on 16 benchma…
Researchers propose Harness-G, a graph-structured retrieval framework that reformulates free-form query generation as finite action selection to address retrieval-equivalence collapse in reinforcement…
Researchers propose Conditional Retrieval Alignment (CoRA), a gradient-free framework that converts a frozen encoder into a task-conditioned retriever for on-device in-context learning, using closed-f…
Researchers propose an unsupervised self-evolving agent framework inspired by diffusion models that enables LLMs to improve specialized skills like creative screenwriting without weight access or exte…
Researchers introduced SkillSmith, an augmented large language model that treats model weights as an additional modality, enabling instruction-steered parametric synthesis by ingesting both prefix wei…
A new framework called CoevolveSim, introduced by researchers in an arXiv preprint (arXiv:2607.27512v1), shows that introducing finetuned specialist large language models (LLMs) more than doubles the …
Researchers from an unspecified institution introduced an agentic extraction method using large language models to identify and characterize intertextual reuse in classical Chinese histories, validate…
Researchers introduced SparseSpec-L, a training-free self-speculative decoding framework for long-context inference, which achieves up to 2.5x speedup over autoregressive decoding while preserving out…
Google's Agent Development Kit now includes ChronoMem, an open-source semantic version-control layer for LLM agent memory that enables natural-language rollback to prior states. In tests on long-horiz…
Researchers propose a framework that ensembles the reasoning structure of multiple large language models (LLMs) by weighted merging of Directed Acyclic Graphs (DAGs) extracted from reasoning chains, w…
Researchers propose SentiLLM, a framework that uses Semantic-Aligned Structural Abstraction to improve multimodal sentiment analysis by converting non-verbal signals into text-like tokens for large la…
Researchers introduced AutoSupervision, a framework that evaluates whether scientific manuscript revisions address reviewer feedback using grounded evidence, built from 56,000 Nature Communications ar…
Researchers developed an LLM pipeline that converts audio interviews into transcripts, maps them into the ten MADRS symptom items, estimates severity, and identifies problematic clinical ratings, achi…
Researchers propose Generator-Gate-Corrector (GGC), a framework for reliable LLM-based Text-to-SPARQL generation, which improves query-level accuracy from 90.23% to 98.33% on MCQA while reducing infer…