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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 ·
Apple’s best product in its first 50 years | The Verge
Nlp

Apple’s best product in its first 50 years | The Verge

From the Macintosh to the iPhone to the iMac to the iPod, it’s hard to pick a best Apple product ever. But we tried to do so anyway.

The Verge - AI · 4 min ·

All Content

[2602.19101] Value Entanglement: Conflation Between Different Kinds of Good In (Some) Large Language Models
Llms

[2602.19101] Value Entanglement: Conflation Between Different Kinds of Good In (Some) Large Language Models

This paper investigates value entanglement in Large Language Models (LLMs), revealing how moral values influence grammatical and economic...

arXiv - AI · 3 min ·
[2602.19040] Adaptive Multi-Agent Reasoning for Text-to-Video Retrieval
Llms

[2602.19040] Adaptive Multi-Agent Reasoning for Text-to-Video Retrieval

The paper presents an adaptive multi-agent framework for improving text-to-video retrieval systems, addressing challenges in query-depend...

arXiv - AI · 4 min ·
[2602.18487] The Million-Label NER: Breaking Scale Barriers with GLiNER bi-encoder
Nlp

[2602.18487] The Million-Label NER: Breaking Scale Barriers with GLiNER bi-encoder

The paper presents GLiNER-bi-Encoder, a new architecture for Named Entity Recognition (NER) that enhances efficiency and scalability, ena...

arXiv - Machine Learning · 3 min ·
[2602.18452] RA-QA: Towards Respiratory Audio-based Health Question Answering
Machine Learning

[2602.18452] RA-QA: Towards Respiratory Audio-based Health Question Answering

The paper presents RA-QA, a novel dataset and benchmark for respiratory audio-based health question answering, addressing a critical gap ...

arXiv - Machine Learning · 4 min ·
[2602.18450] Asymptotic Semantic Collapse in Hierarchical Optimization
Ai Agents

[2602.18450] Asymptotic Semantic Collapse in Hierarchical Optimization

The paper explores 'Asymptotic Semantic Collapse' in multi-agent language systems, where agents converge to a uniform behavior due to a d...

arXiv - Machine Learning · 4 min ·
[2602.18929] Give Users the Wheel: Towards Promptable Recommendation Paradigm
Llms

[2602.18929] Give Users the Wheel: Towards Promptable Recommendation Paradigm

This paper introduces the Decoupled Promptable Sequential Recommendation (DPR) framework, which enhances traditional recommendation syste...

arXiv - AI · 4 min ·
[2602.18439] Replication Study: Federated Text-Driven Prompt Generation for Vision-Language Models
Llms

[2602.18439] Replication Study: Federated Text-Driven Prompt Generation for Vision-Language Models

This article presents a replication study of the FedTPG model, which enhances vision-language model performance in federated learning sce...

arXiv - Machine Learning · 3 min ·
[2602.18922] Why Agent Caching Fails and How to Fix It: Structured Intent Canonicalization with Few-Shot Learning
Llms

[2602.18922] Why Agent Caching Fails and How to Fix It: Structured Intent Canonicalization with Few-Shot Learning

The paper discusses the limitations of current agent caching methods in AI, proposing a new framework, W5H2, that improves efficiency and...

arXiv - Machine Learning · 3 min ·
[2602.20126] Adaptation to Intrinsic Dependence in Diffusion Language Models
Llms

[2602.20126] Adaptation to Intrinsic Dependence in Diffusion Language Models

This article presents a novel unmasking schedule for diffusion language models (DLMs) that adapts to the intrinsic dependence of data dis...

arXiv - Machine Learning · 4 min ·
[2602.18916] Adaptive Collaboration of Arena-Based Argumentative LLMs for Explainable and Contestable Legal Reasoning
Llms

[2602.18916] Adaptive Collaboration of Arena-Based Argumentative LLMs for Explainable and Contestable Legal Reasoning

The paper presents Adaptive Collaboration of Arena-Based Argumentative LLMs (ACAL), a framework designed for explainable and contestable ...

arXiv - AI · 4 min ·
[2602.19987] Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction
Machine Learning

[2602.19987] Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction

The paper presents CURE, a novel framework for counterfactual survival prediction that integrates multimodal data to enhance individualiz...

arXiv - Machine Learning · 4 min ·
[2602.18846] DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference
Llms

[2602.18846] DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference

DUET-VLM introduces a dual-stage token reduction framework for vision-language models, enhancing efficiency without sacrificing accuracy ...

arXiv - AI · 4 min ·
[2602.18800] Operational Robustness of LLMs on Code Generation
Llms

[2602.18800] Operational Robustness of LLMs on Code Generation

This article evaluates the operational robustness of large language models (LLMs) in code generation, proposing a new method to assess th...

arXiv - Machine Learning · 4 min ·
[2602.18776] ArabicNumBench: Evaluating Arabic Number Reading in Large Language Models
Llms

[2602.18776] ArabicNumBench: Evaluating Arabic Number Reading in Large Language Models

The paper introduces ArabicNumBench, a benchmark for evaluating Arabic number reading capabilities in large language models, revealing si...

arXiv - AI · 4 min ·
[2602.18763] TAG: Thinking with Action Unit Grounding for Facial Expression Recognition
Llms

[2602.18763] TAG: Thinking with Action Unit Grounding for Facial Expression Recognition

The paper introduces TAG, a vision-language framework for Facial Expression Recognition (FER) that enhances reasoning by grounding predic...

arXiv - AI · 4 min ·
[2602.19788] Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
Nlp

[2602.19788] Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings

This paper presents a novel Bayesian meta-learning approach that utilizes expert feedback and causal embeddings to enhance task-shift ada...

arXiv - Machine Learning · 3 min ·
[2602.19785] Unsupervised Anomaly Detection in NSL-KDD Using $β$-VAE: A Latent Space and Reconstruction Error Approach
Machine Learning

[2602.19785] Unsupervised Anomaly Detection in NSL-KDD Using $β$-VAE: A Latent Space and Reconstruction Error Approach

This paper presents an unsupervised anomaly detection method using β-VAE on the NSL-KDD dataset, comparing latent space structure and rec...

arXiv - Machine Learning · 3 min ·
[2602.18742] RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning
Llms

[2602.18742] RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning

The paper presents RoboCurate, a framework for generating synthetic robot data that enhances action quality through simulation replay and...

arXiv - AI · 4 min ·
[2602.19782] Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning
Nlp

[2602.19782] Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning

This article presents a novel representation learning framework aimed at addressing instrument-outcome confounding in Mendelian Randomiza...

arXiv - Machine Learning · 3 min ·
[2602.18734] Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem
Nlp

[2602.18734] Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem

This paper proposes a novel framework called Cooperative Retrieval-Augmented Generation (CoRAG), which reformulates retrieval-augmented g...

arXiv - AI · 3 min ·
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