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Llms

[P] Remote sensing foundation models made easy to use.

This project enables the idea of tasking remote sensing models to acquire embeddings like we task satellites to acquire data! https://git...

Reddit - Machine Learning · 1 min ·
Nlp

Anyone else feel like AI security is being figured out in production right now?

I’ve been digging into AI security incident data from 2025 into this year, and it feels like something isn’t being talked about enough ou...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[D] ICML 2026 Average Score

Hi all, I’m curious about the current review dynamics for ICML 2026, especially after the rebuttal phase. For those who are reviewers (or...

Reddit - Machine Learning · 1 min ·

All Content

[2602.18769] GLaDiGAtor: Language-Model-Augmented Multi-Relation Graph Learning for Predicting Disease-Gene Associations
Machine Learning

[2602.18769] GLaDiGAtor: Language-Model-Augmented Multi-Relation Graph Learning for Predicting Disease-Gene Associations

GLaDiGAtor is a novel graph neural network framework that enhances disease-gene association predictions by integrating language models an...

arXiv - AI · 4 min ·
[2602.18739] When World Models Dream Wrong: Physical-Conditioned Adversarial Attacks against World Models
Machine Learning

[2602.18739] When World Models Dream Wrong: Physical-Conditioned Adversarial Attacks against World Models

This paper introduces the Physical-Conditioned World Model Attack (PhysCond-WMA), a novel method to exploit vulnerabilities in generative...

arXiv - Machine Learning · 4 min ·
[2602.19240] Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering
Llms

[2602.19240] Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering

The paper presents Topology-enhanced Retrieval-Augmented Generation (TopoRAG), a novel framework for improving reasoning in textual graph...

arXiv - AI · 4 min ·
[2602.18728] Phase-Consistent Magnetic Spectral Learning for Multi-View Clustering
Nlp

[2602.18728] Phase-Consistent Magnetic Spectral Learning for Multi-View Clustering

This article presents a novel approach to unsupervised multi-view clustering through Phase-Consistent Magnetic Spectral Learning, address...

arXiv - Machine Learning · 4 min ·
[2602.18695] Insertion Based Sequence Generation with Learnable Order Dynamics
Machine Learning

[2602.18695] Insertion Based Sequence Generation with Learnable Order Dynamics

The paper discusses a novel approach to sequence generation using insertion models with learnable order dynamics, enhancing flexibility a...

arXiv - Machine Learning · 3 min ·
[2602.19141] Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians
Machine Learning

[2602.19141] Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians

This paper explores the phenomenon of 'AI psychosis', where users develop delusional beliefs after interacting with sycophantic chatbots,...

arXiv - AI · 3 min ·
[2602.19069] Asking the Right Questions: Improving Reasoning with Generated Stepping Stones
Llms

[2602.19069] Asking the Right Questions: Improving Reasoning with Generated Stepping Stones

This article explores how generated 'stepping stones' can enhance the reasoning capabilities of large language models (LLMs) in complex t...

arXiv - AI · 3 min ·
[2602.18645] Adaptive Time Series Reasoning via Segment Selection
Machine Learning

[2602.18645] Adaptive Time Series Reasoning via Segment Selection

The paper presents ARTIST, a novel approach to time series reasoning that utilizes adaptive segment selection to improve accuracy in answ...

arXiv - Machine Learning · 4 min ·
[2602.19065] Agentic Problem Frames: A Systematic Approach to Engineering Reliable Domain Agents
Llms

[2602.19065] Agentic Problem Frames: A Systematic Approach to Engineering Reliable Domain Agents

The paper introduces Agentic Problem Frames (APF), a framework for developing reliable domain agents by focusing on structured interactio...

arXiv - AI · 4 min ·
[2602.18639] Learning Invariant Visual Representations for Planning with Joint-Embedding Predictive World Models
Machine Learning

[2602.18639] Learning Invariant Visual Representations for Planning with Joint-Embedding Predictive World Models

This paper presents a novel approach to improving the robustness of latent predictive world models in machine learning by addressing the ...

arXiv - Machine Learning · 4 min ·
[2602.18613] Diagnosing LLM Reranker Behavior Under Fixed Evidence Pools
Llms

[2602.18613] Diagnosing LLM Reranker Behavior Under Fixed Evidence Pools

This paper presents a diagnostic method for evaluating LLM reranker behavior using fixed evidence pools, isolating ranking policies from ...

arXiv - Machine Learning · 3 min ·
[2602.18584] GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry
Machine Learning

[2602.18584] GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry

The paper presents GIST, a method for targeted data selection in instruction tuning, improving efficiency by aligning training gradients ...

arXiv - AI · 4 min ·
[2602.18521] AdaptStress: Online Adaptive Learning for Interpretable and Personalized Stress Prediction Using Multivariate and Sparse Physiological Signals
Machine Learning

[2602.18521] AdaptStress: Online Adaptive Learning for Interpretable and Personalized Stress Prediction Using Multivariate and Sparse Physiological Signals

The paper presents AdaptStress, a novel model for predicting stress levels using physiological data from wearables, achieving superior ac...

arXiv - AI · 4 min ·
[2602.18940] DREAM: Deep Research Evaluation with Agentic Metrics
Nlp

[2602.18940] DREAM: Deep Research Evaluation with Agentic Metrics

The paper presents DREAM, a framework for evaluating Deep Research Agents, addressing challenges in assessing research quality through ag...

arXiv - AI · 3 min ·
[2602.18843] ABD: Default Exception Abduction in Finite First Order Worlds
Machine Learning

[2602.18843] ABD: Default Exception Abduction in Finite First Order Worlds

The paper introduces ABD, a benchmark for default-exception abduction in finite first-order worlds, evaluating LLMs on their ability to d...

arXiv - AI · 3 min ·
[2602.18493] Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning
Llms

[2602.18493] Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning

The paper presents the Unified Memory Agent (UMA), an end-to-end reinforcement learning framework designed for long-context reasoning, en...

arXiv - AI · 3 min ·
[2602.18473] Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
Machine Learning

[2602.18473] Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series

This article presents a novel approach to analyzing medical time series data using a centralized attention mechanism, addressing limitati...

arXiv - AI · 4 min ·
[2602.18764] The Convergence of Schema-Guided Dialogue Systems and the Model Context Protocol
Llms

[2602.18764] The Convergence of Schema-Guided Dialogue Systems and the Model Context Protocol

This paper discusses the convergence of Schema-Guided Dialogue Systems and the Model Context Protocol, proposing five foundational princi...

arXiv - AI · 3 min ·
[2602.18724] Task-Aware Exploration via a Predictive Bisimulation Metric
Nlp

[2602.18724] Task-Aware Exploration via a Predictive Bisimulation Metric

The paper presents TEB, a Task-aware Exploration approach that enhances exploration in visual reinforcement learning by utilizing a predi...

arXiv - AI · 3 min ·
[2602.18607] Feedback-based Automated Verification in Vibe Coding of CAS Adaptation Built on Constraint Logic
Llms

[2602.18607] Feedback-based Automated Verification in Vibe Coding of CAS Adaptation Built on Constraint Logic

The paper discusses a novel approach to automated verification in CAS adaptation using vibe coding and feedback loops, demonstrating effe...

arXiv - AI · 4 min ·
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