Research & Innovation

Global: FunPRM Enhances Large Language Model Code Generation Through Modular Prompting and Reward CorrectionResearchers have introduced FunPRM, a test‑time scaling technique that improves the ability of large language models (LLMs)…

Global: Researchers Propose Post-Training Ternarization Framework for Large Language ModelsA team of researchers has introduced PT⁲‑LLM, a post‑training ternarization framework designed to compress large language models (LLMs) while preserving performance.…

Global: VideoNSA Introduces Native Sparse Attention for Scalable Video Understanding Researchers led by Enxin Song and colleagues released a new preprint on arXiv on October 2, 2025, with a revised…

Global: New 1-bit PTQ Method for LLMs Reduces Memory and Compute LoadBackgroundResearchers have introduced a post‑training quantization technique that compresses large language model (LLM) weights to a single bit, addressing…

Global: Explainability Techniques Fail to Capture Linguistic Abstraction in Large Language Models, Study FindsResearchers who authored a recent arXiv preprint released in January 2026 report that two widely used explainability…

Global: New Technique Enhances Visual Understanding in Unified Multimodal ModelsA new post‑training technique called UniMRG has been introduced to improve the visual understanding capabilities of unified multimodal models (UMMs) by…

Global: Open-World Approach Reduces Errors in Network Protocol Fingerprinting Researchers have unveiled a new open‑world method for network protocol fingerprinting that markedly lowers misclassification rates when the set of known…

Global: Selective Deanonymization Proposed for Anonymity Networks Researchers have introduced Seldom, an anonymity network that integrates selective deanonymization, allowing law‑enforcement agencies to access the identities of users who engage in…

Global: New Authenticated Encryption Scheme Proposed for Emergency Space TelemetryOn 29 January 2026, researcher Andrew Savchenko submitted a paper to arXiv that outlines a lightweight authenticated encryption scheme designed to…

Global: Researchers Identify Membership Inference Vulnerability in Fine‑Tuned Diffusion ModelsIn a preprint posted to arXiv on January 2026, a team of researchers reported a new privacy risk affecting fine‑tuned diffusion…