Natural Language Processing

Researchers Rongxin Yang, Shenghong He, Siyuan Zhu, and Chao Yu introduced ProFact, an agentic reinforcement learning framework for end-to-end multi-stage fact verification, according to an arXiv paper submitted June 11,…

An arXiv paper submitted June 11, 2026, introduces Mod-Guide, a content moderation feedback system that uses retrieval-augmented generation to integrate community-created narratives from Bangladesh's Hindu and Chakma min…

Yanjia Sun, Sifan Liu, and Jie Shao introduced CQC-RAG, a framework that improves Retrieval-Augmented Generation robustness by rewriting input questions into diverse queries and selecting answers based on cross-query con…

Seongjin Kim and a co-author proposed a multi-field hybrid retrieval-augmented generation (RAG) framework to automate maritime accident root cause analysis, according to an arXiv submission. The system, built on 13,329 K…

Xiaomi has expanded its AI portfolio across language, reasoning, code, and voice technologies, entering the open-source LLM race in April 2025 with the 7 billion-parameter MiMo model. The company's MiMo-V2-Flash, a 309 b…

A developer built a fast, edge-native personal website using Astro, Cloudflare D1, and R2, demonstrating a modern serverless architecture for content delivery. The project showcases how combining a static site generator …

At WWDC 2026, Apple introduced a rebuilt Siri AI powered by Apple Intelligence, moving the voice assistant beyond simple commands to handle personal context, onscreen awareness, and multi-step app actions. The upgrade al…

Researchers at an academic medical center developed a pre-response classifier that predicts the risk of a user rejecting an LLM-generated clinical response, achieving an AUROC of 0.719 over 4.5 months of user feedback. T…

A new expert-authored benchmark reveals that leading AI models achieve only 57-77% pass rates on multi-turn shopping conversations, with performance dropping 4-18 points as dialogues progress. The Shopping Reasoning Benc…

Researchers have demonstrated that Direct Preference Optimization (DPO) simplifies the fine-tuning pipeline for large language models while improving computational efficiency and achieving competitive performance. The em…

Researchers at arXiv have introduced a framework for generating and validating question-answer datasets that test procedural reasoning in AI-supported learning systems. Comparing three strategies across 23 instructional …

Researchers have introduced MLUBench, a large-scale benchmark for evaluating lifelong unlearning in multimodal large language models (MLLMs), featuring 127 entities across 9 classes. The benchmark reveals that existing u…

Researchers have developed MARD (Mirror-Augmented Reasoning Distillation), a 7-billion-parameter AI system that predicts how drugs interact at the mechanism level, identifying specific enzymes or pathways involved rather…

Researchers at arXiv have introduced a constrained semantic decompression task to test whether large language models can transform Persian proverbs into morally faithful narratives. Their study, using the new Proverb Ali…

A new study from researchers testing adapter composition in large language models found that geometry-aware merging strategies, which enforce orthogonality or directional independence in parameter updates, provide no con…

Researchers have introduced Rotary Value Embeddings (RoVE), a parameter-free modification to Rotary Position Embeddings (RoPE) that makes value pathways position-sensitive by rotating values simultaneously with keys. Thi…

A new study from arXiv (2606.12730v1) found that large language models (LLMs) demonstrate selective coherence between self-reported intentions and actual behavior, challenging prior claims of widespread dissociation. Res…

Researchers fine-tuned three small language models—Phi-3-mini, Qwen2.5-3B, and Mistral-7B—using QLoRA on biomedical claim verification datasets, finding that Mistral-7B outperformed GPT-4o and GPT-5 by up to 12% F1 at a …

Researchers introduced LoHoSearch, a new benchmark of 544 human-verified questions across 11 domains designed to test long-horizon search agents beyond the human difficulty ceiling. The benchmark, built from a knowledge …

Researchers introduced AfriSUD, the first large-scale collection of syntactically annotated treebanks for nine African languages, using the Surface-Syntactic Universal Dependencies framework to capture typological featur…