Key papers

• Ministral 3 (2026)
  Alexander H. Liu et al.
  1.94
• Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement (2026)
  Jian Zhang et al.
  1.94
• Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training (2026)
  Peng Sun et al.
  1.94
• Dual-View Training for Instruction-Following Information Retrieval (2026)
  Qingcheng Zeng et al.
  1.94
• Counting as a minimal probe of language model reliability (2026)
  Tianxiang Dai et al.
  1.94
• CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents (2026)
  Bowen Wang et al.
  1.94
• A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following (2025)
  Yin Fang et al.
  1.28
• EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents (2025)
  Rui Yang et al.
  1.28
• Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think (2025)
  Liang Chen et al.
  1.28
• Iterative Value Function Optimization for Guided Decoding (2025)
  Zhenhua Liu et al.
  1.28
• SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning (2025)
  Prabhat Pandey et al.
  1.28
• ImgEdit: A Unified Image Editing Dataset and Benchmark (2025)
  Yang Ye et al.
  1.28
• Audio-Aware Large Language Models as Judges for Speaking Styles (2025)
  Cheng-Han Chiang et al.
  1.28
• Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers (2025)
  Daniel D'souza et al.
  1.28
• Visual Representation Alignment for Multimodal Large Language Models (2025)
  Heeji Yoon et al.
  1.28
• AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs (2025)
  Sidharth Surapaneni et al.
  1.28
• EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis (2025)
  Yusheng Liao et al.
  1.28
• Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following (2025)
  Tianyi Xiong et al.
  1.28
• ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning (2025)
  Shengyuan Ding et al.
  1.28
• InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Language Models (2025)
  Hongyuan Tao et al.
  1.28
• Olmo 3 (2025)
  Team Olmo et al.
  1.28
• Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks (2023)
  Haiyang Xu et al.
  —
• VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use (2023)
  Yonatan Bitton et al.
  —
• OctoPack: Instruction Tuning Code Large Language Models (2023)
  Niklas Muennighoff et al.
  —
• ORES: Open-vocabulary Responsible Visual Synthesis (2023)
  Minheng Ni et al.
  —
• TextBind: Multi-turn Interleaved Multimodal Instruction-following (2023)
  Huayang Li et al.
  —
• Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations (2023)
  Hakan Inan et al.
  —
• VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation (2023)
  Jinguo Zhu et al.
  —
• WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation (2023)
  Zhaojian Yu et al.
  —
• AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents (2024)
  Michael Ahn et al.
  —
• Weaver: Foundation Models for Creative Writing (2024)
  Tiannan Wang et al.
  —
• Generative Representational Instruction Tuning (2024)
  Niklas Muennighoff et al.
  —
• DeepSeek-VL: Towards Real-World Vision-Language Understanding (2024)
  Haoyu Lu et al.
  —
• RewardBench: Evaluating Reward Models for Language Modeling (2024)
  Nathan Lambert et al.
  —
• SpeechVerse: A Large-scale Generalizable Audio Language Model (2024)
  Nilaksh Das et al.
  —
• PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM (2024)
  Tao Yang et al.
  —
• MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs (2024)
  Ziyu Liu et al.
  —
• ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities (2024)
  Peng Xu et al.
  —
• VITA: Towards Open-Source Interactive Omni Multimodal LLM (2024)
  Chaoyou Fu et al.
  —
• FuzzCoder: Byte-level Fuzzing Test via Large Language Model (2024)
  Liqun Yang et al.
  —
• SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation (2024)
  Prakhar Dixit et al.
  —
• LLaMo: Large Language Model-based Molecular Graph Assistant (2024)
  Jinyoung Park et al.
  —
• If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs (2024)
  Muhammad Khalifa et al.
  —
• Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel (2024)
  Zun Wang et al.
  —
• GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training (2024)
  Renqiu Xia et al.
  —
• TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation (2024)
  Jiatong Li et al.
  —
• LearnLM: Improving Gemini for Learning (2024)
  LearnLM Team et al.
  —