Natural Language Processing

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Walmart CEO reportedly brags that company's in-app AI agent is making people spend 35% more money

[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 ...

[2602.15945] From Tool Orchestration to Code Execution: A Study of MCP Design Choices

This paper explores the design choices of Model Context Protocols (MCPs) and introduces Code Execution MCP (CE-MCP) as a solution to scal...

[2602.16709] Knowledge-Embedded Latent Projection for Robust Representation Learning

This article presents a novel knowledge-embedded latent projection model aimed at improving representation learning in high-dimensional d...

[2602.15919] Generalized Leverage Score for Scalable Assessment of Privacy Vulnerability

The paper presents a method for assessing privacy vulnerability in machine learning models using a generalized leverage score, enabling e...

[2602.16684] Retrieval-Augmented Foundation Models for Matched Molecular Pair Transformations to Recapitulate Medicinal Chemistry Intuition

This article presents a novel approach using retrieval-augmented foundation models for matched molecular pair transformations, enhancing ...

[2602.15902] Doc-to-LoRA: Learning to Instantly Internalize Contexts

The paper presents Doc-to-LoRA, a hypernetwork that enables Large Language Models to internalize contexts efficiently, reducing memory us...

[2602.16629] Almost Sure Convergence of Differential Temporal Difference Learning for Average Reward Markov Decision Processes

This paper presents the almost sure convergence of differential temporal difference learning for average reward Markov decision processes...

[2602.15895] Understand Then Memory: A Cognitive Gist-Driven RAG Framework with Global Semantic Diffusion

The paper presents CogitoRAG, a novel Retrieval-Augmented Generation framework that enhances semantic integrity and reasoning in language...

[2602.16626] A Systematic Evaluation of Sample-Level Tokenization Strategies for MEG Foundation Models

This article evaluates sample-level tokenization strategies for MEG foundation models, comparing learnable and non-learnable approaches t...

[2602.15889] Evidence for Daily and Weekly Periodic Variability in GPT-4o Performance

This article investigates the temporal variability in the performance of the GPT-4o model, revealing significant daily and weekly pattern...

[2602.16573] MoDE-Boost: Boosting Shared Mobility Demand with Edge-Ready Prediction Models

The paper presents MoDE-Boost, a novel approach using gradient boosting models to forecast urban mobility demand, enhancing efficiency in...

[2602.16564] A Scalable Approach to Solving Simulation-Based Network Security Games

The paper presents MetaDOAR, a scalable meta-controller for solving simulation-based network security games, enhancing multi-agent reinfo...

[2602.15867] Playing With AI: How Do State-Of-The-Art Large Language Models Perform in the 1977 Text-Based Adventure Game Zork?

This paper evaluates the performance of state-of-the-art Large Language Models (LLMs) in the 1977 text-based adventure game Zork, reveali...

[2602.15866] NLP Privacy Risk Identification in Social Media (NLP-PRISM): A Survey

This survey presents the NLP-PRISM framework for identifying privacy risks in social media NLP applications, analyzing 203 peer-reviewed ...

[2602.15862] Enhancing Action and Ingredient Modeling for Semantically Grounded Recipe Generation

This paper presents a novel framework for improving recipe generation from food images by enhancing action and ingredient modeling, addre...

[2602.15861] CAST: Achieving Stable LLM-based Text Analysis for Data Analytics

The paper presents CAST, a framework designed to improve the stability of LLM-based text analysis in data analytics by enhancing output c...

[2602.16507] Small molecule retrieval from tandem mass spectrometry: what are we optimizing for?

This paper explores the optimization of loss functions in deep learning models for small molecule retrieval from tandem mass spectrometry...

[2602.15858] State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models

This paper explores how state representations impact the reasoning capabilities of large language models (LLMs) in dynamic environments, ...

[2602.15856] Rethinking Soft Compression in Retrieval-Augmented Generation: A Query-Conditioned Selector Perspective

The paper presents SeleCom, a novel selector-based soft compression framework for Retrieval-Augmented Generation (RAG), addressing limita...

[2602.15854] Decoupling Strategy and Execution in Task-Focused Dialogue via Goal-Oriented Preference Optimization

This paper presents Goal-Oriented Preference Optimization (GOPO), a new framework for enhancing task-oriented dialogue systems by decoupl...

[2602.16449] GICDM: Mitigating Hubness for Reliable Distance-Based Generative Model Evaluation

The paper presents GICDM, a method to mitigate hubness in distance-based evaluations of generative models, enhancing reliability and alig...