Key papers

• A3: Android Agent Arena for Mobile GUI Agents (2025)
  Yuxiang Chai 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
• CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing (2025)
  Yu Yuan et al.
  1.28
• Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models (2025)
  Sonam Gupta et al.
  1.28
• The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1 (2025)
  Kaiwen Zhou et al.
  1.28
• CoSTAast: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing (2025)
  Advait Gupta et al.
  1.28
• When Words Outperform Vision: VLMs Can Self-Improve Via Text-Only Training For Human-Centered Decision Making (2025)
  Zhe Hu et al.
  1.28
• VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model (2025)
  Haozhan Shen et al.
  1.28
• s3: You Don't Need That Much Data to Train a Search Agent via RL (2025)
  Pengcheng Jiang et al.
  1.28
• MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs (2025)
  Zaid Alyafeai et al.
  1.28
• Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates (2025)
  Jaewoo Ahn et al.
  1.28
• AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery (2025)
  Yuqi Yin et al.
  1.28
• MemLoRA: Distilling Expert Adapters for On-Device Memory Systems (2025)
  Massimo Bini et al.
  1.28
• DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI (2025)
  Hao Liang et al.
  1.28
• CodeTF: One-stop Transformer Library for State-of-the-art Code LLM (2023)
  Nghi D. Q. Bui et al.
  —
• From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought (2023)
  Lionel Wong et al.
  —
• Predicting Code Coverage without Execution (2023)
  Michele Tufano et al.
  —
• StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback (2024)
  Shihan Dou et al.
  —
• Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings (2024)
  Sahand Sharifzadeh et al.
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• Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models (2024)
  Guanting Dong et al.
  —
• PiTe: Pixel-Temporal Alignment for Large Video-Language Model (2024)
  Yang Liu et al.
  —
• Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders (2024)
  David Noever et al.
  —
• Seeker: Enhancing Exception Handling in Code with LLM-based Multi-Agent Approach (2024)
  Xuanming Zhang et al.
  —
• SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE (2024)
  Yongwei Chen et al.
  —
• OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation (2024)
  Junyuan Zhang et al.
  —
• CAD-Recode: Reverse Engineering CAD Code from Point Clouds (2024)
  Danila Rukhovich et al.
  —