OpenAI、医薬合成を改善する自律AI化学者を公表

Explaining Attention with Program Synthesis

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-17

プログラム合成で注意機構を説明し解釈可能性を追求

A Multi-Domain Benchmark for Detecting AI-Generated Text-Rich Images from GPT-Image-2

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-17

GPT-Image-2 生成の文字入り画像を見抜く多分野ベンチマーク

TxBench-PP: Analyzing AI Agent Performance on Small-Molecule Preclinical Pharmacology

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-17

TxBench-PP、小分子前臨床薬理での AI エージェント性能を評価

CAPRA: Scaling Feedback on Software Architecture Deliverables with a Multi-Agent LLM System

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-17

ソフト設計成果物の添削を自動化するマルチエージェントLLM「CAPRA」

ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues

arXiv cs.CL (Computation and Language) ・ 2026-06-16

ReproRepo、GitHub課題で再現性監査をスケール

RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills

arXiv cs.CL (Computation and Language) ・ 2026-06-16

RubricsTree、個人健康エージェントの開放型評価を拡張

Your AI Travel Agent Would Book You a Bullfight: An Agentic Benchmark for Implicit Animal Welfare in Frontier AI Models

arXiv cs.CL (Computation and Language) ・ 2026-06-16

動物福祉の暗黙的配慮を測るエージェント型ベンチマーク

Structural Role Injection in Handlebars-Templated LLM Prompts: Triple-Brace Interpolation, Delimiter Family, and the Limits of HTML Auto-Escaping

arXiv cs.CL (Computation and Language) ・ 2026-06-16

HandlebarsテンプレのLLMプロンプトに潜む役割注入

Querying an astronomical database using large language models: the ALeRCE text-to-SQL system

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-16

LLMで天文DBを問い合わせるtext-to-SQLシステムを開発

Security and Privacy Prompts in the Wild: What Users Ask LLMs and How LLMs Respond

arXiv cs.CL (Computation and Language) ・ 2026-06-16

実世界でユーザがLLMに尋ねる安全・プライバシー質問を分析

When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support

arXiv cs.CL (Computation and Language) ・ 2026-06-16

AIの合成的な実体験表現、介護者ピア支援での緊張を検討

Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars

arXiv cs.CL (Computation and Language) ・ 2026-06-16

AI患者アバターで心理療法訓練をより手軽に

From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning

arXiv cs.CL (Computation and Language) ・ 2026-06-16

訓練生から訓練者へ、LLMがRL用の訓練環境を設計

Binary Tracking for Spatial QA and Navigation with Open Vision-Language Models

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-15

オープン VLM で動く空間質問応答・ナビ手法 Binary Tracking を提案

Compositional Reasoning Depth Predicts Clinical AI Failure: Empirical Evidence Consistent with Transformer Compositionality Limits in Electronic Health Record Question Answering

arXiv cs.CL (Computation and Language) ・ 2026-06-15

推論ホップ数が臨床 AI の誤りを予測、Transformer の合成性限界を示唆

How Much Can We Trust LLM Search Agents? Measuring Endorsement Vulnerability to Web Content Manipulation

arXiv cs.CL (Computation and Language) ・ 2026-06-15

LLM 検索エージェントの推薦汚染耐性を測る枠組みを提案

LLM-based Visual Code Completion for Aerospace Geometric Design

arXiv cs.CL (Computation and Language) ・ 2026-06-15

航空宇宙設計向け LLM コード補助 copilot を提案する論文

Multimodal Evaluator Preference Collapse: Cross-Modal Contagion in Self-Evolving Agents

arXiv cs.CL (Computation and Language) ・ 2026-06-15

自己進化エージェントの評価選好崩壊と跨モーダル伝播を扱う論文

Sycophancy as Material Failure under Pushback Loading: A Multi-Axis Characterization Across Three Loading Cases and up to Seventeen Material Charges

arXiv cs.CL (Computation and Language) ・ 2026-06-15

LLMの追従性を材料の破壊現象に見立てて多軸的に分析(本文取得不可)

The BD-LSC Dataset: Facilitating the Benchmarking of Models for Lexical Semantic Change Detection in Slang and Standard Usage

arXiv cs.CL (Computation and Language) ・ 2026-06-15

語義変化検出の新ベンチマーク BD-LSC データセットを公開