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[2603.12681] Colluding LoRA: A Compositional Vulnerability in LLM Safety Alignment
Llms

[2603.12681] Colluding LoRA: A Compositional Vulnerability in LLM Safety Alignment

Abstract page for arXiv paper 2603.12681: Colluding LoRA: A Compositional Vulnerability in LLM Safety Alignment

arXiv - Machine Learning · 3 min ·
[2603.09645] Noise in Photonic Quantum Machine Learning: Models, Impacts, and Mitigation Strategies
Machine Learning

[2603.09645] Noise in Photonic Quantum Machine Learning: Models, Impacts, and Mitigation Strategies

Abstract page for arXiv paper 2603.09645: Noise in Photonic Quantum Machine Learning: Models, Impacts, and Mitigation Strategies

arXiv - Machine Learning · 4 min ·
[2602.08961] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE
Nlp

[2602.08961] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

Abstract page for arXiv paper 2602.08961: MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

arXiv - Machine Learning · 4 min ·
[2602.08927] Online monotone density estimation and log-optimal calibration

[2602.08927] Online monotone density estimation and log-optimal calibration

Abstract page for arXiv paper 2602.08927: Online monotone density estimation and log-optimal calibration

arXiv - Machine Learning · 3 min ·
[2602.06098] A Theoretical Analysis of Test-Driven LLM Code Generation
Llms

[2602.06098] A Theoretical Analysis of Test-Driven LLM Code Generation

Abstract page for arXiv paper 2602.06098: A Theoretical Analysis of Test-Driven LLM Code Generation

arXiv - Machine Learning · 3 min ·
[2602.04361] SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration
Machine Learning

[2602.04361] SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration

Abstract page for arXiv paper 2602.04361: SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration

arXiv - Machine Learning · 4 min ·
[2601.18857] Statistical Inference for Explainable Boosting Machines
Machine Learning

[2601.18857] Statistical Inference for Explainable Boosting Machines

Abstract page for arXiv paper 2601.18857: Statistical Inference for Explainable Boosting Machines

arXiv - Machine Learning · 3 min ·
[2601.16771] AutoRegressive Generation with B-rep Holistic Token Sequence Representation
Machine Learning

[2601.16771] AutoRegressive Generation with B-rep Holistic Token Sequence Representation

Abstract page for arXiv paper 2601.16771: AutoRegressive Generation with B-rep Holistic Token Sequence Representation

arXiv - Machine Learning · 4 min ·
[2601.06853] †DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems
Machine Learning

[2601.06853] †DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems

Abstract page for arXiv paper 2601.06853: †DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems

arXiv - Machine Learning · 4 min ·
[2601.01331] AppellateGen: A Benchmark for Appellate Legal Judgment Generation

[2601.01331] AppellateGen: A Benchmark for Appellate Legal Judgment Generation

Abstract page for arXiv paper 2601.01331: AppellateGen: A Benchmark for Appellate Legal Judgment Generation

arXiv - Machine Learning · 4 min ·
[2601.03323] Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion and Mamba with Decoupled Dance Dataset
Machine Learning

[2601.03323] Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion and Mamba with Decoupled Dance Dataset

Abstract page for arXiv paper 2601.03323: Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion an...

arXiv - Machine Learning · 4 min ·
[2511.21437] A Systematic Study of In-the-Wild Model Merging for Large Language Models
Llms

[2511.21437] A Systematic Study of In-the-Wild Model Merging for Large Language Models

Abstract page for arXiv paper 2511.21437: A Systematic Study of In-the-Wild Model Merging for Large Language Models

arXiv - Machine Learning · 4 min ·
[2601.01095] NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding
Llms

[2601.01095] NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding

Abstract page for arXiv paper 2601.01095: NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding

arXiv - Machine Learning · 4 min ·
[2512.21782] Accelerating Scientific Discovery with Autonomous Goal-evolving Agents
Robotics

[2512.21782] Accelerating Scientific Discovery with Autonomous Goal-evolving Agents

Abstract page for arXiv paper 2512.21782: Accelerating Scientific Discovery with Autonomous Goal-evolving Agents

arXiv - Machine Learning · 4 min ·
[2512.09804] OnCoCo 1.0: A Public Dataset for Fine-Grained Message Classification in Online Counseling Conversations
Data Science

[2512.09804] OnCoCo 1.0: A Public Dataset for Fine-Grained Message Classification in Online Counseling Conversations

Abstract page for arXiv paper 2512.09804: OnCoCo 1.0: A Public Dataset for Fine-Grained Message Classification in Online Counseling Conve...

arXiv - Machine Learning · 4 min ·
[2512.04653] A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
Machine Learning

[2512.04653] A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control

Abstract page for arXiv paper 2512.04653: A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforce...

arXiv - Machine Learning · 4 min ·
[2512.02711] CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer
Llms

[2512.02711] CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer

Abstract page for arXiv paper 2512.02711: CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer

arXiv - Machine Learning · 3 min ·
[2512.02172] SplatSuRe: Selective Super-Resolution for Multi-view Consistent 3D Gaussian Splatting
Machine Learning

[2512.02172] SplatSuRe: Selective Super-Resolution for Multi-view Consistent 3D Gaussian Splatting

Abstract page for arXiv paper 2512.02172: SplatSuRe: Selective Super-Resolution for Multi-view Consistent 3D Gaussian Splatting

arXiv - Machine Learning · 4 min ·
[2511.22442] What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is Rarely $F_1$
Machine Learning

[2511.22442] What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is Rarely $F_1$

Abstract page for arXiv paper 2511.22442: What Is the Optimal Ranking Score Between Precision and Recall? We Can Always Find It and It Is...

arXiv - Machine Learning · 4 min ·
[2511.16216] FlipVQA: Scaling Multi-modal Instruction Tuning via Textbook-to-Knowledge Synthesis

[2511.16216] FlipVQA: Scaling Multi-modal Instruction Tuning via Textbook-to-Knowledge Synthesis

Abstract page for arXiv paper 2511.16216: FlipVQA: Scaling Multi-modal Instruction Tuning via Textbook-to-Knowledge Synthesis

arXiv - Machine Learning · 4 min ·