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natural language processing

9,568 papers

#natural language process... Preprint Sep 2026

Canonical Procedural Actions: An Auditable Annotation Protocol for Tool-Use Agent Traces

Canonical Procedural Actions (CPAs) is presented, an annotation protocol that records a procedural function, its first agent-event anchor, the agent events that realize it, and separate contextual evidence, and separate contextual evidence.

Song-Qi Li, Dong-Qing Li, Zhe-Qiao Cheng · 0 citations
#artificial intelligence Preprint Sep 2026

Taramandal-GPT: Enhancing Astrodynamics Problem-Solving with Knowledge Retrieval and Structured Thinking

Tamarandal-GPT (Constellation-GPT), a domain-adapted framework built on the Qwen3-8b backbone, enhanced with a Retrieval-Augmented Generation pipeline and a fallback mechanism for improved contextual precision, achieves competitive performance against state-of-the-art open- and closed-source models.

Akhil Sharma, Jatin Gupta, A. Abidi · 0 citations
#artificial intelligence Open access Sep 2026

Memory vs. Context? Influential Factors of Factual Recall in Language Models

We reproduce and stress-test the work of Yu et al. (2023), who characterize how language models (LMs) arbitrate between memorized knowledge and contradictory in-context statements. We replicate their world-capitals experiments on 31 models spanning Pythia, GPT-2, Qwen3, and Ministral families, including base and post-t...

Guilhem Fouilhé, Nicholas Asher, Philippe Muller · 0 citations
#natural language process... Preprint Sep 2026

Vimarsha: Faithful ASR Evaluation for Indian Languages with Demographic Diversity, In-the-Wild Audio and Spelling Variations

Evaluation benchmarks for Indian language automatic speech recognition (ASR) suffer from two systematic biases: optimistic scores from clean, controlled audio conditions, and pessimistic scores from overly rigid transcription standards that penalize valid linguistic variations. We introduce Vimarsha, a 100-hour benchma...

K. Bhogale, Srija Anand, Sadakopa Ramakrishnan Thothathiri et al. · 0 citations
#natural language process... Preprint Sep 2026

LoopCD: Loop-wise Contrastive Decoding for Improving Reasoning in Looped Language Models

LoopCD, loop-wise contrastive decoding that enhances the reasoning performance of LoopLMs by intervening on these tokens at inference time by exploiting the internal dynamics of LoopLMs and contrast the logits from earlier iterations with logits from the last refined iteration to form the final sampling distribution.

Byeongho Yu, Junhyuk So, Eunhyeok Park · 0 citations
#natural language process... Preprint Open access Sep 2026

Efficient LLM Distillation for Bangladesh Legal Context: A Smartphone-Compatible Retrieval-Augmented Generation Model

Legal information in Bangladesh is inaccessible to most citizens. Statutory text is English-only, trained lawyers are concentrated in urban centres, and cloud-dependent AI fails where mobile connectivity is unreliable, a setting in which hallucinated legal text causes direct harm. The system addresses statutory interpr...

MD. Nafis Kamal, Mahadi Hasan Fahim, Talha Ridwan et al. · 0 citations
#natural language process... Preprint Sep 2026

Re:CAP - Auditing Retrieval Coverage in Production RAG Pipelines

Re:CAP is a reference-free audit loop applied to a deployed RAG pipeline's initial answer and retrieved context that identifies the topics already covered, generates probing questions for plausibly missing topics, retrieves candidate documents, and applies an LLM-as-judge to retain only those that introduce previously-...

Aviral Joshi, Hanoz Bhathena, Max Nelson et al. · 0 citations
#natural language process... Preprint Sep 2026

You Can Tell Who's Asking: What the Web's Questions Are Made Of, and Where They Come From

Questions scraped from the web are used across academia and industry as a proxy for what people want to know. Across QA training data, retrieval benchmarks, and content strategy, questions on a page are assumed to reflect human intent. We test this assumption at scale by extracting 13.4B question occurrences across 110...

Calvin Zhou, Vincent McCloskey, Krishna Srinivasan · 0 citations
#artificial intelligence Preprint Open access Sep 2026

From Content Generation to Learning Support: Pedagogy-Guided Generative Video Tutors for STEM Learning

Generative AI enables scalable production of educational videos, but current systems largely focus on producing visually coherent content rather than supporting learning. As a result, generated videos often lack explicit pedagogical structure, reliable quality control, and mechanisms for assessing learner understanding...

Xinchen Ma, Shuimu Wang, Gaole He et al. · 0 citations
#natural language process... Preprint Sep 2026

Efficient Reasoning Exploration via State-Conditioned Latent Steering with Progress Guidance

SPS is a training-free latent steering framework that constructs a state-conditioned Direction Bank containing multiple progress-guided steering vectors for different prefix-state regions and applies it at high-uncertainty transitions to guide the next reasoning step toward meaningful progress.

Hengyuan Zhang, Chenming Shang, Zun-Hai Su et al. · 0 citations

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Microsoft Research Blog Oct 22, 2026

Flint-interactive: A language for creating interactive data visualizations

Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.

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