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Accelerating science with AI and simulations
Machine Learning

Accelerating science with AI and simulations

MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...

AI News - General · 10 min ·
[2603.10202] Hybrid Hidden Markov Model for Modeling Equity Excess Growth Rate Dynamics: A Discrete-State Approach with Jump-Diffusion
Machine Learning

[2603.10202] Hybrid Hidden Markov Model for Modeling Equity Excess Growth Rate Dynamics: A Discrete-State Approach with Jump-Diffusion

Abstract page for arXiv paper 2603.10202: Hybrid Hidden Markov Model for Modeling Equity Excess Growth Rate Dynamics: A Discrete-State Ap...

arXiv - Machine Learning · 4 min ·
[2602.00388] Safer by Diffusion, Broken by Context: Diffusion LLM's Safety Blessing and Its Failure Mode
Llms

[2602.00388] Safer by Diffusion, Broken by Context: Diffusion LLM's Safety Blessing and Its Failure Mode

Abstract page for arXiv paper 2602.00388: Safer by Diffusion, Broken by Context: Diffusion LLM's Safety Blessing and Its Failure Mode

arXiv - Machine Learning · 4 min ·

All Content

[2509.21500] Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training
Llms

[2509.21500] Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training

This article presents a novel approach to reward modeling in large language models (LLMs) using rubric-based methods to mitigate reward o...

arXiv - Machine Learning · 4 min ·
[2509.18880] Diversity Boosts AI-Generated Text Detection
Llms

[2509.18880] Diversity Boosts AI-Generated Text Detection

The paper presents DivEye, a novel framework for detecting AI-generated text by analyzing unpredictability in text structure and vocabula...

arXiv - Machine Learning · 4 min ·
[2509.14537] ClearFairy: Capturing Creative Workflows through Decision Structuring, In-Situ Questioning, and Rationale Inference
Machine Learning

[2509.14537] ClearFairy: Capturing Creative Workflows through Decision Structuring, In-Situ Questioning, and Rationale Inference

The paper introduces ClearFairy, an AI assistant designed to enhance decision-making in creative workflows by structuring reasoning and i...

arXiv - AI · 3 min ·
[2508.19982] Diffusion Language Models Know the Answer Before Decoding
Llms

[2508.19982] Diffusion Language Models Know the Answer Before Decoding

The paper discusses Diffusion Language Models (DLMs) and introduces a new decoding method called Prophet, which allows for faster inferen...

arXiv - AI · 4 min ·
[2507.08017] Mechanistic Indicators of Understanding in Large Language Models
Llms

[2507.08017] Mechanistic Indicators of Understanding in Large Language Models

This paper explores mechanistic indicators of understanding in large language models (LLMs), proposing a tiered framework to assess their...

arXiv - AI · 4 min ·
[2506.09886] Probabilistic distances-based hallucination detection in LLMs with RAG
Llms

[2506.09886] Probabilistic distances-based hallucination detection in LLMs with RAG

This paper presents a novel method for detecting hallucinations in large language models (LLMs) using probabilistic distances in retrieva...

arXiv - AI · 3 min ·
[2506.07452] When Style Breaks Safety: Defending LLMs Against Superficial Style Alignment
Llms

[2506.07452] When Style Breaks Safety: Defending LLMs Against Superficial Style Alignment

This paper explores the vulnerabilities of large language models (LLMs) to superficial style alignment, proposing a defense mechanism cal...

arXiv - Machine Learning · 4 min ·
[2506.05154] Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement
Llms

[2506.05154] Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement

The paper presents Knowledgeable-R1, a reinforcement-learning framework designed to enhance retrieval-augmented generation (RAG) by mitig...

arXiv - AI · 4 min ·
[2503.06692] InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
Llms

[2503.06692] InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models

InftyThink presents a novel approach to long-context reasoning in large language models, addressing computational limits and enhancing pe...

arXiv - AI · 4 min ·
[2502.11684] MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task
Llms

[2502.11684] MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task

The paper introduces MathFimer, a framework designed to enhance mathematical reasoning in large language models by expanding reasoning st...

arXiv - AI · 4 min ·
[2310.17167] Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise
Machine Learning

[2310.17167] Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise

This paper presents advancements in denoising diffusion models, focusing on simultaneous estimation of image and noise to enhance image g...

arXiv - Machine Learning · 4 min ·
[2510.19139] A Multi-faceted Analysis of Cognitive Abilities: Evaluating Prompt Methods with Large Language Models on the CONSORT Checklist
Llms

[2510.19139] A Multi-faceted Analysis of Cognitive Abilities: Evaluating Prompt Methods with Large Language Models on the CONSORT Checklist

This paper evaluates the cognitive abilities of large language models (LLMs) in assessing clinical trial reporting according to CONSORT s...

arXiv - AI · 4 min ·
[2505.18502] Knowledge Fusion of Large Language Models Via Modular SkillPacks
Llms

[2505.18502] Knowledge Fusion of Large Language Models Via Modular SkillPacks

The paper presents GraftLLM, a novel method for knowledge fusion in large language models using modular SkillPacks, enhancing cross-capab...

arXiv - Machine Learning · 4 min ·
[2602.22197] Off-The-Shelf Image-to-Image Models Are All You Need To Defeat Image Protection Schemes
Machine Learning

[2602.22197] Off-The-Shelf Image-to-Image Models Are All You Need To Defeat Image Protection Schemes

This paper demonstrates that off-the-shelf image-to-image models can effectively defeat various image protection schemes, highlighting a ...

arXiv - AI · 4 min ·
[2602.22145] When AI Writes, Whose Voice Remains? Quantifying Cultural Marker Erasure Across World English Varieties in Large Language Models
Llms

[2602.22145] When AI Writes, Whose Voice Remains? Quantifying Cultural Marker Erasure Across World English Varieties in Large Language Models

This article explores the phenomenon of 'Cultural Ghosting' in large language models (LLMs), highlighting the systematic erasure of cultu...

arXiv - AI · 4 min ·
[2602.22144] NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors
Llms

[2602.22144] NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors

The paper presents NoLan, a framework aimed at reducing object hallucinations in Large Vision-Language Models (LVLMs) by dynamically supp...

arXiv - AI · 4 min ·
[2602.21939] Hidden Topics: Measuring Sensitive AI Beliefs with List Experiments
Llms

[2602.21939] Hidden Topics: Measuring Sensitive AI Beliefs with List Experiments

This paper explores how list experiments can be used to uncover hidden beliefs in large language models (LLMs), revealing concerning appr...

arXiv - AI · 3 min ·
[2602.21864] DynamicGTR: Leveraging Graph Topology Representation Preferences to Boost VLM Capabilities on Graph QAs
Llms

[2602.21864] DynamicGTR: Leveraging Graph Topology Representation Preferences to Boost VLM Capabilities on Graph QAs

The paper presents DynamicGTR, a framework that enhances Vision-Language Models (VLMs) by dynamically selecting optimal graph topology re...

arXiv - AI · 4 min ·
[2602.21798] Excitation: Momentum For Experts
Machine Learning

[2602.21798] Excitation: Momentum For Experts

The paper introduces Excitation, a novel optimization framework aimed at enhancing learning in sparse architectures like Mixture-of-Exper...

arXiv - Machine Learning · 3 min ·
[2602.21779] Beyond Static Artifacts: A Forensic Benchmark for Video Deepfake Reasoning in Vision Language Models
Llms

[2602.21779] Beyond Static Artifacts: A Forensic Benchmark for Video Deepfake Reasoning in Vision Language Models

This paper introduces a forensic benchmark for evaluating video deepfake reasoning in vision-language models, focusing on temporal incons...

arXiv - AI · 4 min ·
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