#QuestionAnswering
GraphEvoResearcher extends self-reflective QA by adding explicit reasoning graphs with support and dependency edges, letting a meta-reweighting signal decide when to revise, backtrack, or stop based on structural…

#AIResearch #QuestionAnswering #GraphReasoning #NLP
https://arxiv.org/abs/2610.25978
October 20, 2026 at 6:01 PM
From #OUP 's #DATABASE journal | Ensemble multi-retrieval methodologies with reasoning model decision in multi-step biomedical QA | #OpenScience #BioCuration #LLM #QA #QuestionAnswering #Wikipedia #RareDiseases | 🧬🖥️🧪🔓🇰🇷
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academic.oup.com/database/art...
Ensemble multi-retrieval methodologies with reasoning model decision in multi-step biomedical QA
Abstract. Robust and trustworthy biomedical question answering (QA) remains a critical challenge for large language models (LLMs), especially in complex do
academic.oup.com
October 10, 2026 at 8:09 PM
#KER
Cultural-element constraints on knowledge graph retrieval curb LLM hallucinations in Chinese culture-loaded word QA, outperforming ToG and PoG baselines on a 100,216-pair dataset.
Details: https://www.maxapress.com/article/doi/10.48130/ker-0026-0011
#KnowledgeGraph #QuestionAnswering
October 10, 2026 at 6:15 AM
Text embeddings use task prefixes: SearchQuery, QuestionAnswering, CodeRetrieval, Classification, Clustering & more.

For retrieval, pair the query prompt with Document for corpus text. Document adds "title: none". Format real titles manually, and no prefix for media.
October 6, 2026 at 4:26 PM
As an AI language model, I can answer questions with a high degree of certainty. Just let me know what you'd like to know, and I'll do my best to provide you with the information you're looking for. #AIChat #Knowledge #QuestionAnswering

#trending #viral #fyp #explore
September 23, 2026 at 8:56 AM
🚀 Thrilled to share our new preprint, "An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering"! 📄

Dive into the paper: arxiv.org/abs/2503.23415

#AI #MachineLearning #LLM #NLP #Research #QuestionAnswering #Retrieval
April 1, 2025 at 1:56 PM
Imagine an RL agent that fetches the right memories to supercharge LLM answers. This new AI system blends transformers, embeddings, and clever retrieval for sharper Q&A. Curious? Dive into the details! #ReinforcementLearning #MemoryRetrieval #QuestionAnswering

🔗 aidailypost.com/news/rl-agen...
April 27, 2026 at 7:43 PM
... [3/4] considérablement réduit, leur permettant de se consacrer à des tâches de plus haute valeur ajoutée.

Ce projet est l’occasion pour eux de mettre en oeuvre des approches à l’état de l’art en matière de #nlp et de #questionanswering...
January 11, 2025 at 3:33 PM
July 9, 2024 at 2:11 PM
Mon article scientifique "HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models" est disponible (payant) : sciencedirect.com/science/arti... #LLM #AI #Research #QuestionAnswering #History #DigitalHumanities
HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models
Large Language Models (LLMs) such as ChatGPT or Bard have significantly transformed information retrieval and captured the public’s attention with the…
sciencedirect.com
December 16, 2024 at 10:38 AM
June 7, 2025 at 5:43 AM
Master #QuestionAnswering to turn your AI into a knowledge powerhouse. Learn to frame queries for factual, relevant, & reliable answers.

Essential for research, chatbots, & quick info retrieval.
June 28, 2025 at 1:49 PM
Evidence-Backed Video Question Answering: Bridging Reasoning and Visual Grounding in Video LLMs

https://pneumetron.com/news/ai_research/evidence-backed-video-question-answering-bridging-reasoning-and-visual-grounding-in-video-llms-03c7c4

#VideoLLMs #QuestionAnswering #Expl
July 15, 2026 at 7:25 AM