Key papers

• CoV: Chain-of-View Prompting for Spatial Reasoning (2026)
  Haoyu Zhao et al.
  1.94
• Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation (2026)
  Pingzhi Tang et al.
  1.94
• Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models (2026)
  Hyunjong Ok et al.
  1.94
• CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation (2026)
  Zhongyuan Peng et al.
  1.94
• Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception (2026)
  Lai Wei et al.
  1.94
• Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding (2026)
  Zhongxing Xu et al.
  1.94
• Do VLMs Need Vision Transformers? Evaluating State Space Models as Vision Encoders (2026)
  Shang-Jui Ray Kuo et al.
  1.94
• VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video Understanding (2026)
  Ruoliu Yang et al.
  1.94
• SeGPruner: Semantic-Geometric Visual Token Pruner for 3D Question Answering (2026)
  Wenli Li et al.
  1.94
• VideoZeroBench: Probing the Limits of Video MLLMs with Spatio-Temporal Evidence Verification (2026)
  Jiahao Meng et al.
  1.94
• HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help? (2026)
  Mohamed Elfeki et al.
  1.94
• Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models (2026)
  Mohammed Safi Ur Rahman Khan et al.
  1.94
• Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation (2026)
  Ziwen Zhao et al.
  1.89
• No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural Understanding (2026)
  Vynska Amalia Permadi et al.
  1.72
• Chain-of-Retrieval Augmented Generation (2025)
  Liang Wang et al.
  1.28
• The Mirage of Model Editing: Revisiting Evaluation in the Wild (2025)
  Wanli Yang et al.
  1.28
• SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering? (2025)
  Yucheng Shi et al.
  1.28
• Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance (2025)
  Xueqing Peng et al.
  1.28
• VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering (2025)
  Yanling Wang et al.
  1.28
• ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering (2025)
  Kaisi Guan et al.
  1.28
• KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language (2025)
  Yoonshik Kim et al.
  1.28
• Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding (2025)
  Tao Zhang et al.
  1.28
• UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation (2025)
  Linshan Wu et al.
  1.28
• VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model (2025)
  Zuwei Long et al.
  1.28
• Synthetic Data RL: Task Definition Is All You Need (2025)
  Yiduo Guo et al.
  1.28
• Fostering Video Reasoning via Next-Event Prediction (2025)
  Haonan Wang et al.
  1.28
• VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos (2025)
  Tingyu Song et al.
  1.28
• CoMemo: LVLMs Need Image Context with Image Memory (2025)
  Shi Liu et al.
  1.28
• Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering (2025)
  Akash Gupta et al.
  1.28
• Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory (2025)
  Lin Long et al.
  1.28
• MovieCORE: COgnitive REasoning in Movies (2025)
  Gueter Josmy Faure et al.
  1.28
• ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation (2025)
  Yongyuan Liang et al.
  1.28
• MemLoRA: Distilling Expert Adapters for On-Device Memory Systems (2025)
  Massimo Bini et al.
  1.28
• 3D-LLM: Injecting the 3D World into Large Language Models (2023)
  Yining Hong et al.
  —
• MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning (2023)
  Jun Chen et al.
  —
• RoboVQA: Multimodal Long-Horizon Reasoning for Robotics (2023)
  Pierre Sermanet et al.
  —
• VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation (2023)
  Jinguo Zhu et al.
  —
• Generative Multimodal Models are In-Context Learners (2023)
  Quan Sun et al.
  —
• Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models (2024)
  Aitor Ormazabal et al.
  —
• VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs (2024)
  Zesen Cheng et al.
  —
• Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams (2024)
  Haoji Zhang et al.
  —
• Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation (2024)
  Jirui Qi et al.
  —
• Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System (2024)
  Weize Chen et al.
  —
• MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models (2024)
  Hang Hua et al.
  —
• ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning (2024)
  Zhiwei Hao et al.
  —
• LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding (2024)
  Jian Chen et al.
  —
• M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding (2024)
  Jaemin Cho et al.
  —
• MapQaTor: A System for Efficient Annotation of Map Query Datasets (2024)
  Mahir Labib Dihan et al.
  —