Daily Arxiv

世界中で発行される人工知能関連の論文をまとめるページです。
このページはGoogle Geminiを活用して要約し、非営利で運営しています。
論文の著作権は著者および関連機関にあり、共有する際は出典を明記してください。

Teaching the Teacher: Improving Neural Network Distillability for Symbolic Regression via Jacobian Regularization

Bayesian Optimization of Process Parameters of a Sensor-Based Sorting System using Gaussian Processes as Surrogate Models

Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items

SourceSplice: Source Selection for Machine Learning Tasks

OneShield - the Next Generation of LLM Guardrails

RecPS: Privacy Risk Scoring for Recommender Systems

HuiduRep: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings

Leveraging Synthetic Data for Question Answering with Multilingual LLMs in the Agricultural Domain

Time-RA: Towards Time Series Reasoning for Anomaly with LLM Feedback

A Segmented Robot Grasping Perception Neural Network for Edge AI

Binarizing Physics-Inspired GNNs for Combinatorial Optimization

Disentangling Neural Disjunctive Normal Form Models

The Second Machine Turn: From Checking Proofs to Creating Concepts

EmissionNet: Air Quality Pollution Forecasting for Agriculture

Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representations

Evaluating LLMs on Real-World Forecasting Against Human Superforecasters

Sign Spotting Disambiguation using Large Language Models

RAG-R1: Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query Parallelism

Discovering the underlying analytic structure within Standard Model constants using artificial intelligence

MR-CLIP: Efficient Metadata-Guided Learning of MRI Contrast Representations

Curious Causality-Seeking Agents Learn Meta Causal World

Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models

Private GPTs for LLM-driven testing in software development and machine learning

DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models

AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora

Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs

HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation

Are Sparse Autoencoders Useful for Java Function Bug Detection?

Credible Plan-Driven RAG Method for Multi-Hop Question Answering

Debunking with Dialogue? Exploring AI-Generated Counterspeech to Challenge Conspiracy Theories

E2E Parking Dataset: An Open Benchmark for End-to-End Autonomous Parking

Dominated Actions in Imperfect-Information Games

FakeIDet: Exploring Patches for Privacy-Preserving Fake ID Detection

Simultaneous Motion And Noise Estimation with Event Cameras

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Review

ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning

A Survey on Post-training of Large Language Models

Do Large Language Models Know How Much They Know?

Better Embeddings with Coupled Adam

Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks

An Investigation into Value Misalignment in LLM-Generated Texts for Cultural Heritage

Embracing Large Language Models in Traffic Flow Forecasting

A Large Sensor Foundation Model Pretrained on Continuous Glucose Monitor Data for Diabetes Management

FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait

Un-mixing Test-time Adaptation under Heterogeneous Data Streams

PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics

Cobblestone: Iterative Automation for Formal Verification

Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors

AttnMod: Attention-Based New Art Styles

Loss Landscape Degeneracy and Stagewise Development in Transformers

Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective

Gradient Leakage Defense with Key-Lock Module for Federated Learning

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving

Semantic Chain-of-Trust: Autonomous Trust Orchestration for Collaborator Selection via Hypergraph-Aided Agentic AI

How Far Are AI Scientists from Changing the World?

A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence

EARTH: Structuring Creative Evolution through Model Error in Generative AI

On Gradual Semantics for Assumption-Based Argumentation

Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations

Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team

ORFS-agent: Tool-Using Agents for Chip Design Optimization

World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks

The Urban Impact of AI: Modeling Feedback Loops in Next-Venue Recommendation

BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking

OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

Causal Explanations for Image Classifiers

BCR-DRL: Behavior- and Context-aware Reward for Deep Reinforcement Learning in Human-AI Coordination

Federated Cross-Training Learners for Robust Generalization under Data Heterogeneity

Identifying Unique Spatial-Temporal Bayesian Network without Markov Equivalence

Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models

SpA2V: Harnessing Spatial Auditory Cues for Audio-driven Spatially-aware Video Generation

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation

MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection under Cloaking Perturbations

A Simple and Effective Method for Uncertainty Quantification and OOD Detection

Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking

Is It Really You? Exploring Biometric Verification Scenarios in Photorealistic Talking-Head Avatar Videos

Agentic large language models improve retrieval-based radiology question answering

Out-of-Context Abduction: LLMs Make Inferences About Procedural Data Leveraging Declarative Facts in Earlier Training Data

How LLMs are Shaping the Future of Virtual Reality

Adaptive Machine Learning-Driven Multi-Fidelity Stratified Sampling for Failure Analysis of Nonlinear Stochastic Systems

Dynamically Adaptive Reasoning via LLM-Guided MCTS for Efficient and Context-Aware KGQA

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning

JSON-Bag: A generic game trajectory representation

NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System

Efficient Solution and Learning of Robust Factored MDPs

D3: Training-Free AI-Generated Video Detection Using Second-Order Features

On-Device Diffusion Transformer Policy for Efficient Robot Manipulation

Segment First, Retrieve Better: Realistic Legal Search via Rhetorical Role-Based Queries

Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications

Advancing Quantum Information Science Pre-College Education: The Case for Learning Sciences Collaboration

Backdoor Attacks on Deep Learning Face Detection

Similarity-Based Self-Construct Graph Model for Predicting Patient Criticalness Using Graph Neural Networks and EHR Data

Prompting Science Report 3: I'll pay you or I'll kill you -- but will you care?

Composable OS Kernel Architectures for Autonomous Intelligence

LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks

Wukong Framework for Not Safe For Work Detection in Text-to-Image systems

OmniUnet: A Multimodal Network for Unstructured Terrain Segmentation on Planetary Rovers Using RGB, Depth, and Thermal Imagery

Kodezi Chronos: A Debugging-First Language Model for Repository-Scale, Memory-Driven Code Understanding

Created by

Haebom

作者

Ishraq Khan, Assad Chowdary, Sharoz Haseeb, Urvish Patel

概要

Kodezi Chronosは、完全なコードベース、履歴、ドキュメントなどの超長文コンテキストで動作するように設計された次世代の自律コードの理解、デバッグ、およびメンテナンスアーキテクチャです。固定ウィンドウ制限なしでベクトルとグラフベースのインデックスを組み合わせた多段階埋め込みメモリエンジンを活用して、数百万行のコードの効率的で正確な推論を可能にします。これにより、ストレージ規模の理解、マルチファイルリファクタリング、リアルタイムの自己修復作業が可能になります。ソフトウェアエンジニアリングの分野に合わせて特別に設計された新しいMulti Random Retrievalベンチマークにより、従来のLLMおよびコードモデルより優れた性能を示し、実際のバグ検出で23%向上、既存のシーケンスベースのアプローチに比べてデバッグ周期を最大40%短縮する結果を示しました。 IDEとCI / CDワークフローとの自然なインターフェースにより、シームレスな自律ソフトウェアメンテナンスが可能になり、コードの信頼性と生産性が向上し、手動作業が軽減されます。

Takeaways、Limitations

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Takeaways:

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超長文コンテキストでのコードの理解、デバッグ、およびメンテナンスのパフォーマンスの向上。

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ストレージ規模のコード理解とマルチファイルリファクタリングのサポート

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リアルタイムの自己修復機能によるソフトウェアの安定性の向上。

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実際のバグ検出率の向上とデバッグサイクルの短縮

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IDEおよびCI/CDワークフローとのシームレスな統合。

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自律的なソフトウェア保守システムへの進歩。

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Limitations:

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論文で明示的に言及されているLimitationsはありません。追加の実験とさまざまなコードベースのテストを通じて、一般化の可能性と拡張性を検証する必要があります。特定のプログラミング言語やコードスタイルの偏りの可能性の分析が必要です。

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