Key papers

• AI4PLE: A Methodology for Integrating AI into Product Line Engineering (2026)
  Bedir Tekinerdogan
  5.49
• Generative AI floods and dilutes the market for books (2026)
  Tuhin Chakrabarty et al.
  5.01
• Can an AI System Be Creative? A Critical Perspective from Art and Engineering (2026)
  Ivan Magrin-Chagnolleau
  4.39
• Traceable Scholarship: Page Anchors and Ariadne's Thread for Humanistic Inquiry in the Age of Generative AI (2026)
  Deyu Jing
  4.39
• Analyzing Middle School Students' Dialogue and Behaviors during Collaborative AI Chatbot Development Using Ordered Network Analysis (2026)
  Shan Zhang et al.
  4.39
• Beyond Perspectives: A Trio-Ethnography of Interpretation Evolution in LLM-Supported Programming Education (2026)
  Jennie Ren et al.
  4.39
• COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs (2026)
  Dasol Choi et al.
  1.94
• Scaling Small Agents Through Strategy Auctions (2026)
  Lisa Alazraki et al.
  1.94
• ResearchGym: Evaluating Language Model Agents on Real-World AI Research (2026)
  Aniketh Garikaparthi et al.
  1.94
• FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use (2026)
  Jiaxuan Lu et al.
  1.94
• AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents (2026)
  Sharareh Younesian et al.
  1.94
• GridVQA-X: A Framework for Evaluating Multimodal Explainability Methods (2026)
  Sujay Belsare et al.
  1.94
• Creating Group Rules with AI: Human-AI Collaboration in WhatsApp Moderation (2026)
  Gauri Nayak et al.
  1.89
• From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem (2025)
  James Jewitt et al.
  1.44
• A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following (2025)
  Yin Fang et al.
  1.28
• Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts (2025)
  Clément Desroches et al.
  1.28
• MetaChain: A Fully-Automated and Zero-Code Framework for LLM Agents (2025)
  Jiabin Tang et al.
  1.28
• Rethinking Diverse Human Preference Learning through Principal Component Analysis (2025)
  Feng Luo et al.
  1.28
• Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family (2025)
  Pierre-Carl Langlais et al.
  1.28
• LawFlow : Collecting and Simulating Lawyers' Thought Processes (2025)
  Debarati Das et al.
  1.28
• NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search (2025)
  Sunhao Dai et al.
  1.28
• Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents (2025)
  Jenny Zhang et al.
  1.28
• The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets (2025)
  Shenzhe Zhu et al.
  1.28
• TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems (2025)
  Shaina Raza et al.
  1.28
• A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning (2025)
  Hiroshi Yoshihara et al.
  1.28
• Inverse Scaling in Test-Time Compute (2025)
  Aryo Pradipta Gema et al.
  1.28
• Data and AI governance: Promoting equity, ethics, and fairness in large language models (2025)
  Alok Abhishek et al.
  1.28
• Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities (2025)
  Trisanth Srinivasan et al.
  1.28
• DeepScholar-Bench: A Live Benchmark and Automated Evaluation for Generative Research Synthesis (2025)
  Liana Patel et al.
  1.28
• Instruction-Following Evaluation in Function Calling for Large Language Models (2025)
  Nikolai Skripko
  1.28
• DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian Culture (2025)
  Arijit Maji et al.
  1.28
• VoiceAssistant-Eval: Benchmarking AI Assistants across Listening, Speaking, and Viewing (2025)
  Ke Wang et al.
  1.28
• From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning (2025)
  Cheng Yang et al.
  1.28
• Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols (2025)
  Mikhail Terekhov et al.
  1.28
• Static Sandboxes Are Inadequate: Modeling Societal Complexity Requires Open-Ended Co-Evolution in LLM-Based Multi-Agent Simulations (2025)
  Jinkun Chen et al.
  1.28
• PokeeResearch: Effective Deep Research via Reinforcement Learning from AI Feedback and Robust Reasoning Scaffold (2025)
  Yi Wan et al.
  1.28
• Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents (2025)
  Yueqi Song et al.
  1.28
• Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation (2025)
  Inferix Team et al.
  1.28
• StarCoder: may the source be with you! (2023)
  Raymond Li et al.
  —
• DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI (2023)
  Jianguo Zhang et al.
  —
• Holodeck: Language Guided Generation of 3D Embodied AI Environments (2023)
  Yue Yang et al.
  —
• Towards Conversational Diagnostic AI (2024)
  Tao Tu et al.
  —
• Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence (2024)
  Weize Chen et al.
  —
• Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents (2024)
  Kexun Zhang et al.
  —
• GenAgent: Build Collaborative AI Systems with Automated Workflow Generation -- Case Studies on ComfyUI (2024)
  Xiangyuan Xue et al.
  —
• Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders (2024)
  David Noever et al.
  —
• VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AI (2024)
  Sijie Cheng et al.
  —
• VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models (2024)
  Lei Li et al.
  —
• LearnLM: Improving Gemini for Learning (2024)
  LearnLM Team et al.
  —