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[2603.24326] Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing
Llms

[2603.24326] Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing

Abstract page for arXiv paper 2603.24326: Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing

arXiv - AI · 4 min ·
[2601.13508] Autonomous Computational Catalysis Research via Agentic Systems
Nlp

[2601.13508] Autonomous Computational Catalysis Research via Agentic Systems

Abstract page for arXiv paper 2601.13508: Autonomous Computational Catalysis Research via Agentic Systems

arXiv - AI · 3 min ·
[2510.20847] Integrated representational signatures strengthen specificity in brains and models
Machine Learning

[2510.20847] Integrated representational signatures strengthen specificity in brains and models

Abstract page for arXiv paper 2510.20847: Integrated representational signatures strengthen specificity in brains and models

arXiv - AI · 4 min ·

All Content

[2601.09982] Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG
Machine Learning

[2601.09982] Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG

This article presents a hybrid framework for improving neural machine translation performance in low-resource languages, specifically add...

arXiv - AI · 3 min ·
[2512.13697] Writing in Symbiosis: Mapping Human Creative Agency in the AI Era
Llms

[2512.13697] Writing in Symbiosis: Mapping Human Creative Agency in the AI Era

This article explores the evolving relationship between human creativity and AI, particularly in writing, highlighting how authors adapt ...

arXiv - AI · 3 min ·
[2512.05430] ArtistMus: A Globally Diverse, Artist-Centric Benchmark for Retrieval-Augmented Music Question Answering
Llms

[2512.05430] ArtistMus: A Globally Diverse, Artist-Centric Benchmark for Retrieval-Augmented Music Question Answering

ArtistMus introduces a benchmark for music question answering, leveraging a diverse dataset to enhance retrieval-augmented generation mod...

arXiv - Machine Learning · 4 min ·
[2512.04552] RRPO: Robust Reward Policy Optimization for LLM-based Emotional TTS
Llms

[2512.04552] RRPO: Robust Reward Policy Optimization for LLM-based Emotional TTS

The paper presents Robust Reward Policy Optimization (RRPO), a novel framework designed to enhance emotional text-to-speech (TTS) systems...

arXiv - AI · 4 min ·
[2509.19665] Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy
Machine Learning

[2509.19665] Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy

This article presents a study on deep learning techniques for detecting clouds and cloud shadows in methane satellite and airborne imagin...

arXiv - Machine Learning · 4 min ·
[2509.18129] Pareto-optimal Trade-offs Between Communication and Computation with Flexible Gradient Tracking
Nlp

[2509.18129] Pareto-optimal Trade-offs Between Communication and Computation with Flexible Gradient Tracking

This paper presents FlexGT, a method for optimizing distributed stochastic problems by balancing communication and computation, achieving...

arXiv - Machine Learning · 4 min ·
[2511.01228] Importance Ranking in Complex Networks via Influence-aware Causal Node Embedding
Nlp

[2511.01228] Importance Ranking in Complex Networks via Influence-aware Causal Node Embedding

This paper presents a novel framework for ranking node importance in complex networks using influence-aware causal node embedding, enhanc...

arXiv - AI · 4 min ·
[2511.01144] AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence
Llms

[2511.01144] AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence

The paper presents AthenaBench, a dynamic benchmark designed to evaluate large language models (LLMs) in the context of Cyber Threat Inte...

arXiv - AI · 4 min ·
[2510.22876] Batch Speculative Decoding Done Right
Nlp

[2510.22876] Batch Speculative Decoding Done Right

The paper presents a novel framework for batch speculative decoding, addressing critical failures in existing methods and achieving signi...

arXiv - AI · 4 min ·
[2510.09424] The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach
Llms

[2510.09424] The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach

This paper presents a comparative study of context management strategies for end-to-end Spoken Dialogue State Tracking using Speech-LLMs,...

arXiv - Machine Learning · 3 min ·
[2506.06964] Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization
Llms

[2506.06964] Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization

This article presents a novel approach to offline reinforcement learning (RL) using reward-weighted fine-tuning, enhancing conversation o...

arXiv - Machine Learning · 3 min ·
[2505.23522] OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data
Nlp

[2505.23522] OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data

The article introduces OmniEarth-Bench, a comprehensive benchmark for evaluating interactions across Earth's six spheres using multimodal...

arXiv - Machine Learning · 4 min ·
[2510.02356] Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark
Llms

[2510.02356] Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark

This article presents EAPrivacy, a benchmark for evaluating the physical-world privacy awareness of large language models (LLMs), reveali...

arXiv - AI · 4 min ·
[2509.23519] ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search
Llms

[2509.23519] ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search

The paper introduces ReliabilityRAG, a framework designed to enhance the robustness of Retrieval-Augmented Generation (RAG) systems again...

arXiv - AI · 4 min ·
[2503.00187] Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks
Llms

[2503.00187] Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks

This paper presents a safety steering framework to enhance the robustness of large language models (LLMs) against multi-turn jailbreaking...

arXiv - Machine Learning · 4 min ·
[2509.17196] Evolution of Concepts in Language Model Pre-Training
Llms

[2509.17196] Evolution of Concepts in Language Model Pre-Training

This article examines the evolution of concepts in language model pre-training, revealing how feature development influences performance ...

arXiv - AI · 3 min ·
[2508.18210] Why Synthetic Isn't Real Yet: A Diagnostic Framework for Contact Center Dialogue Generation
Generative Ai

[2508.18210] Why Synthetic Isn't Real Yet: A Diagnostic Framework for Contact Center Dialogue Generation

This article presents a diagnostic framework for evaluating synthetic dialogue generation in contact centers, highlighting the limitation...

arXiv - AI · 4 min ·
[2410.17587] Predicting Company Growth using Scaling Theory informed Machine Learning
Machine Learning

[2410.17587] Predicting Company Growth using Scaling Theory informed Machine Learning

The paper presents a novel Scaling-Theory-Informed Machine Learning (STIML) framework for predicting company growth by integrating struct...

arXiv - Machine Learning · 4 min ·
[2508.03882] Simulating Cyberattacks through a Breach Attack Simulation (BAS) Platform empowered by Security Chaos Engineering (SCE)
Nlp

[2508.03882] Simulating Cyberattacks through a Breach Attack Simulation (BAS) Platform empowered by Security Chaos Engineering (SCE)

This article presents a novel approach to simulating cyberattacks by integrating Security Chaos Engineering (SCE) into Breach Attack Simu...

arXiv - AI · 3 min ·
[2507.16713] A Pragmatist Robot: Learning to Plan Tasks by Experiencing the Real World
Llms

[2507.16713] A Pragmatist Robot: Learning to Plan Tasks by Experiencing the Real World

The paper presents PragmaBot, a framework for robotic task planning that utilizes real-world experiences and self-reflection to enhance l...

arXiv - AI · 4 min ·
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