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.
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.
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· Proceedings of the 9th Black...· 0 citations
Overall, the findings show that publisher reliability can be inferred from aggregated textual signals alone, supporting scalable and content-based approaches to automated news source assessment.
John Bianchi, Manuel Pratelli, Fabio Pinelli et al.· 0 citations
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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
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
A reporting protocol is assembled whose outcomes, refusal included, state what an adjusted score may be claimed to show: an audit-time diagnostic reported beside the construct-alignment cost it incurs, never a replacement for the raw score.
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
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
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
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
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
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.