Faithful-First Reasoning, Planning, and Acting for Multimodal LLMscs.AI updates on arXiv.org arXiv:2511.08409v3 Announce Type: replace
Abstract: Multimodal Large Language Models (MLLMs) frequently suffer from unfaithfulness, generating reasoning chains that drift from visual evidence or contradict final predictions. We propose Faithful-First Reasoning, Planning, and Acting (RPA) framework in which FaithEvi provides step-wise and chain-level supervision by evaluating the faithfulness of intermediate reasoning, and FaithAct uses these signals to plan and execute faithfulness-aware actions during inference. Experiments across multiple multimodal reasoning benchmarks show that faithful-first RPA improves perceptual faithfulness by up to 24% over prompt-based and tool-augmented reasoning frameworks, without degrading task accuracy. Our analysis shows that treating faithfulness as a guiding principle perceptually faithful reasoning trajectories and mitigates hallucination behavior. This work thereby establishes a unified framework for both evaluating and enforcing faithfulness in multimodal reasoning. Code will be released upon acceptance.
arXiv:2511.08409v3 Announce Type: replace
Abstract: Multimodal Large Language Models (MLLMs) frequently suffer from unfaithfulness, generating reasoning chains that drift from visual evidence or contradict final predictions. We propose Faithful-First Reasoning, Planning, and Acting (RPA) framework in which FaithEvi provides step-wise and chain-level supervision by evaluating the faithfulness of intermediate reasoning, and FaithAct uses these signals to plan and execute faithfulness-aware actions during inference. Experiments across multiple multimodal reasoning benchmarks show that faithful-first RPA improves perceptual faithfulness by up to 24% over prompt-based and tool-augmented reasoning frameworks, without degrading task accuracy. Our analysis shows that treating faithfulness as a guiding principle perceptually faithful reasoning trajectories and mitigates hallucination behavior. This work thereby establishes a unified framework for both evaluating and enforcing faithfulness in multimodal reasoning. Code will be released upon acceptance. Read More
Agentic AI scaling requires new memory architectureAI News Agentic AI represents a distinct evolution from stateless chatbots toward complex workflows, and scaling it requires new memory architecture. As foundation models scale toward trillions of parameters and context windows reach millions of tokens, the computational cost of remembering history is rising faster than the ability to process it. Organisations deploying these systems now face
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Agentic AI represents a distinct evolution from stateless chatbots toward complex workflows, and scaling it requires new memory architecture. As foundation models scale toward trillions of parameters and context windows reach millions of tokens, the computational cost of remembering history is rising faster than the ability to process it. Organisations deploying these systems now face
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Vibe Code Reality Check: What You Can Actually Build with Only AIKDnuggets This is an “expectations vs reality” approach to demystify, based on research of real success and failure stories, what are the capabilities and limits of vibe coding.
This is an “expectations vs reality” approach to demystify, based on research of real success and failure stories, what are the capabilities and limits of vibe coding. Read More
HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database GrowsTowards Data Science How approximate vector search silently degrades Recall—and what to do about It
The post HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows appeared first on Towards Data Science.
How approximate vector search silently degrades Recall—and what to do about It
The post HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows appeared first on Towards Data Science. Read More
Optimism for AI-powered productivity: DeloitteAI News Deloitte’s latest UK CFO Survey presents an improving outlook for large UK businesses, with technology investment – particularly in AI – emerging as a dominant strategy. The survey offers the signal that while macroeconomic and geopolitical risks remain elevated, boards are converging increasingly on digital ability as a primary route to productivity and medium-term growth.
The post Optimism for AI-powered productivity: Deloitte appeared first on AI News.
Deloitte’s latest UK CFO Survey presents an improving outlook for large UK businesses, with technology investment – particularly in AI – emerging as a dominant strategy. The survey offers the signal that while macroeconomic and geopolitical risks remain elevated, boards are converging increasingly on digital ability as a primary route to productivity and medium-term growth.
The post Optimism for AI-powered productivity: Deloitte appeared first on AI News. Read More
Data Scientist vs AI Engineer: Which Career Should You Choose in 2026?KDnuggets Although data science and AI engineering share tools and terminology, they are not interchangeable careers. This article explains how the work, goals, and impact of each role differ so you can choose the career path that fits you.
Although data science and AI engineering share tools and terminology, they are not interchangeable careers. This article explains how the work, goals, and impact of each role differ so you can choose the career path that fits you. Read More
Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted OptionsTowards Data Science Human-guided AI collaboration
The post Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options appeared first on Towards Data Science.
Human-guided AI collaboration
The post Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options appeared first on Towards Data Science. Read More
Top 7 n8n Workflow Templates for Data ScienceKDnuggets A list of ready to use n8n workflow templates that help data scientists quickly analyze data, extract and transform it, and build reliable knowledge bases.
A list of ready to use n8n workflow templates that help data scientists quickly analyze data, extract and transform it, and build reliable knowledge bases. Read More
TII Abu-Dhabi Released Falcon H1R-7B: A New Reasoning Model Outperforming Others in Math and Coding with only 7B Params with 256k Context WindowMarkTechPost Technology Innovation Institute (TII), Abu Dhabi, has released Falcon-H1R-7B, a 7B parameter reasoning specialized model that matches or exceeds many 14B to 47B reasoning models in math, code and general benchmarks, while staying compact and efficient. It builds on Falcon H1 7B Base and is available on Hugging Face under the Falcon-H1R collection. Falcon-H1R-7B is
The post TII Abu-Dhabi Released Falcon H1R-7B: A New Reasoning Model Outperforming Others in Math and Coding with only 7B Params with 256k Context Window appeared first on MarkTechPost.
Technology Innovation Institute (TII), Abu Dhabi, has released Falcon-H1R-7B, a 7B parameter reasoning specialized model that matches or exceeds many 14B to 47B reasoning models in math, code and general benchmarks, while staying compact and efficient. It builds on Falcon H1 7B Base and is available on Hugging Face under the Falcon-H1R collection. Falcon-H1R-7B is
The post TII Abu-Dhabi Released Falcon H1R-7B: A New Reasoning Model Outperforming Others in Math and Coding with only 7B Params with 256k Context Window appeared first on MarkTechPost. Read More
Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It)Towards Data Science My take after 10 years in Supply Chain on why this can be an excellent playground for data scientists who want to see their skills valued.
The post Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It) appeared first on Towards Data Science.
My take after 10 years in Supply Chain on why this can be an excellent playground for data scientists who want to see their skills valued.
The post Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It) appeared first on Towards Data Science. Read More