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[2603.13294] Real-World AI Evaluation: How FRAME Generates Systematic Evidence to Resolve the Decision-Maker's Dilemma
Machine Learning

[2603.13294] Real-World AI Evaluation: How FRAME Generates Systematic Evidence to Resolve the Decision-Maker's Dilemma

Abstract page for arXiv paper 2603.13294: Real-World AI Evaluation: How FRAME Generates Systematic Evidence to Resolve the Decision-Maker...

arXiv - AI · 4 min ·
[2603.12564] AgentDrift: Unsafe Recommendation Drift Under Tool Corruption Hidden by Ranking Metrics in LLM Agents
Llms

[2603.12564] AgentDrift: Unsafe Recommendation Drift Under Tool Corruption Hidden by Ranking Metrics in LLM Agents

Abstract page for arXiv paper 2603.12564: AgentDrift: Unsafe Recommendation Drift Under Tool Corruption Hidden by Ranking Metrics in LLM ...

arXiv - AI · 4 min ·
[2602.00665] Can Small Language Models Handle Context-Summarized Multi-Turn Customer-Service QA? A Synthetic Data-Driven Comparative Evaluation
Llms

[2602.00665] Can Small Language Models Handle Context-Summarized Multi-Turn Customer-Service QA? A Synthetic Data-Driven Comparative Evaluation

Abstract page for arXiv paper 2602.00665: Can Small Language Models Handle Context-Summarized Multi-Turn Customer-Service QA? A Synthetic...

arXiv - AI · 4 min ·

All Content

[2505.19764] Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
Llms

[2505.19764] Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows

Abstract page for arXiv paper 2505.19764: Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows

arXiv - Machine Learning · 4 min ·
[2601.21961] How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors
Ai Startups

[2601.21961] How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors

Abstract page for arXiv paper 2601.21961: How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Des...

arXiv - AI · 4 min ·
[2506.20640] CoMind: Towards Community-Driven Agents for Machine Learning Engineering
Llms

[2506.20640] CoMind: Towards Community-Driven Agents for Machine Learning Engineering

Abstract page for arXiv paper 2506.20640: CoMind: Towards Community-Driven Agents for Machine Learning Engineering

arXiv - Machine Learning · 4 min ·
[2602.24277] Resources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustworthiness Assessment
Nlp

[2602.24277] Resources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustworthiness Assessment

Abstract page for arXiv paper 2602.24277: Resources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustwo...

arXiv - AI · 4 min ·
[2602.24119] Terminology Rarity Predicts Catastrophic Failure in LLM Translation of Low-Resource Ancient Languages: Evidence from Ancient Greek
Llms

[2602.24119] Terminology Rarity Predicts Catastrophic Failure in LLM Translation of Low-Resource Ancient Languages: Evidence from Ancient Greek

Abstract page for arXiv paper 2602.24119: Terminology Rarity Predicts Catastrophic Failure in LLM Translation of Low-Resource Ancient Lan...

arXiv - AI · 4 min ·
[2602.24096] DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer
Generative Ai

[2602.24096] DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer

Abstract page for arXiv paper 2602.24096: DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online D...

arXiv - Machine Learning · 4 min ·
[2602.24238] Time Series Foundation Models as Strong Baselines in Transportation Forecasting: A Large-Scale Benchmark Analysis
Llms

[2602.24238] Time Series Foundation Models as Strong Baselines in Transportation Forecasting: A Large-Scale Benchmark Analysis

Abstract page for arXiv paper 2602.24238: Time Series Foundation Models as Strong Baselines in Transportation Forecasting: A Large-Scale ...

arXiv - Machine Learning · 3 min ·
[2602.24060] Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis
Llms

[2602.24060] Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis

Abstract page for arXiv paper 2602.24060: Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis

arXiv - AI · 4 min ·
[2602.24201] Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics
Machine Learning

[2602.24201] Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics

Abstract page for arXiv paper 2602.24201: Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics

arXiv - Machine Learning · 3 min ·
[2602.24014] Interpretable Debiasing of Vision-Language Models for Social Fairness
Llms

[2602.24014] Interpretable Debiasing of Vision-Language Models for Social Fairness

Abstract page for arXiv paper 2602.24014: Interpretable Debiasing of Vision-Language Models for Social Fairness

arXiv - AI · 3 min ·
[2602.24009] Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking
Llms

[2602.24009] Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking

Abstract page for arXiv paper 2602.24009: Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking

arXiv - Machine Learning · 4 min ·
[2602.23949] HotelQuEST: Balancing Quality and Efficiency in Agentic Search
Llms

[2602.23949] HotelQuEST: Balancing Quality and Efficiency in Agentic Search

Abstract page for arXiv paper 2602.23949: HotelQuEST: Balancing Quality and Efficiency in Agentic Search

arXiv - AI · 3 min ·
[2602.23834] Enhancing Continual Learning for Software Vulnerability Prediction: Addressing Catastrophic Forgetting via Hybrid-Confidence-Aware Selective Replay for Temporal LLM Fine-Tuning
Llms

[2602.23834] Enhancing Continual Learning for Software Vulnerability Prediction: Addressing Catastrophic Forgetting via Hybrid-Confidence-Aware Selective Replay for Temporal LLM Fine-Tuning

Abstract page for arXiv paper 2602.23834: Enhancing Continual Learning for Software Vulnerability Prediction: Addressing Catastrophic For...

arXiv - Machine Learning · 4 min ·
[2602.23729] From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning
Llms

[2602.23729] From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning

Abstract page for arXiv paper 2602.23729: From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating...

arXiv - Machine Learning · 4 min ·
[2602.23663] Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning
Ai Startups

[2602.23663] Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning

Abstract page for arXiv paper 2602.23663: Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning

arXiv - Machine Learning · 4 min ·
[2602.23662] Selective Denoising Diffusion Model for Time Series Anomaly Detection
Machine Learning

[2602.23662] Selective Denoising Diffusion Model for Time Series Anomaly Detection

Abstract page for arXiv paper 2602.23662: Selective Denoising Diffusion Model for Time Series Anomaly Detection

arXiv - Machine Learning · 4 min ·
[2602.23649] AudioCapBench: Quick Evaluation on Audio Captioning across Sound, Music, and Speech
Llms

[2602.23649] AudioCapBench: Quick Evaluation on Audio Captioning across Sound, Music, and Speech

Abstract page for arXiv paper 2602.23649: AudioCapBench: Quick Evaluation on Audio Captioning across Sound, Music, and Speech

arXiv - AI · 3 min ·
[2602.23603] LFQA-HP-1M: A Large-Scale Human Preference Dataset for Long-Form Question Answering
Llms

[2602.23603] LFQA-HP-1M: A Large-Scale Human Preference Dataset for Long-Form Question Answering

Abstract page for arXiv paper 2602.23603: LFQA-HP-1M: A Large-Scale Human Preference Dataset for Long-Form Question Answering

arXiv - AI · 3 min ·
[2602.23581] SDMixer: Sparse Dual-Mixer for Time Series Forecasting
Machine Learning

[2602.23581] SDMixer: Sparse Dual-Mixer for Time Series Forecasting

Abstract page for arXiv paper 2602.23581: SDMixer: Sparse Dual-Mixer for Time Series Forecasting

arXiv - Machine Learning · 3 min ·
[2602.23438] DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation
Machine Learning

[2602.23438] DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation

Abstract page for arXiv paper 2602.23438: DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Genera...

arXiv - AI · 4 min ·
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