[R] Looking for arXiv cs.LG endorser, inference monitoring using information geometry
Hi r/MachineLearning, I’m looking for an arXiv endorser in cs.LG for a paper on inference-time distribution shift detection for deployed ...
Text understanding and language tasks
Hi r/MachineLearning, I’m looking for an arXiv endorser in cs.LG for a paper on inference-time distribution shift detection for deployed ...
KDD 2026 (Feb Cycle) reviews will release today (4-April AoE), This thread is open to discuss about reviews and importantly celebrate suc...
Built a memory server for AI agents (MCP protocol) and implemented two cognitive science techniques in v7.5 I wanted to share. ACT-R Cogn...
This article discusses the integration of Large Language Models (LLMs) into water distribution system management, introducing LLM-EPANET,...
The article presents SurgRAW, a multi-agent workflow utilizing Chain of Thought reasoning for enhanced robotic surgical video analysis, a...
The article presents PCAS, a Policy Compiler designed to enforce complex authorization policies in LLM-based agents, improving compliance...
This article presents a novel approach to extracting polymer knowledge from literature using Retrieval-Augmented Generation (RAG) techniq...
The paper explores the reliability of large language models (LLMs) as evaluators in natural language generation tasks, proposing a new mo...
The paper presents the Context-Aware Layer-Wise Integrated Gradients (CA-LIG) framework, enhancing explainability in Transformer models b...
The paper explores optimal training-conditional regret in online conformal prediction for non-stationary data streams, addressing distrib...
DataJoint 2.0 introduces a relational workflow model designed to enhance collaboration in scientific data pipelines, ensuring data integr...
This paper introduces variable-length semantic identifiers for recommender systems, addressing challenges in item representation and impr...
This paper explores a novel approach to enhance large language models (LLMs) by enabling them to learn from language feedback through soc...
This article explores the dual role of neural audio codecs in labeling resynthesized audio for deepfake detection, highlighting the impac...
The paper introduces 'Team-of-Thoughts', a novel multi-agent system architecture that enhances performance by leveraging heterogeneous ag...
IndicEval introduces a bilingual evaluation framework for large language models, assessing their performance on real examination question...
The paper introduces the Better Audio Transformer (BAT), which utilizes a novel Convex Gated Probing method to enhance audio self-supervi...
This article discusses the development of production-scale Optical Character Recognition (OCR) systems tailored for India's multilingual ...
This article presents a novel framework for generating histopathology reports using a combination of a foundation model and a Transformer...
This paper presents WPEM, an AI-driven workflow for refining X-ray diffraction data, enhancing the stability and accuracy of peak intensi...
The paper presents Emotion Collider (EC-Net), a novel framework for multimodal emotion and sentiment modeling using hyperbolic geometry a...
This paper introduces FlexATC, a communication-efficient framework for distributed nonsmooth optimization, achieving notable convergence ...
The paper presents Missing-by-Design (MBD), a framework for revocable multimodal sentiment analysis that enhances privacy compliance by a...
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