Papers

• Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks (2026)
  Qihua Dong et al.
  1.72
• Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks (2025)
  Miran Heo et al.
  1.28
• IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding (2025)
  Sankalp KJ et al.
  1.28
• Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models (2025)
  Sonam Gupta et al.
  1.28
• HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs (2025)
  Tin Nguyen et al.
  1.28
• SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories (2025)
  Muzhi Zhu et al.
  1.28
• SmolVLM: Redefining small and efficient multimodal models (2025)
  Andrés Marafioti et al.
  1.28
• CoMemo: LVLMs Need Image Context with Image Memory (2025)
  Shi Liu et al.
  1.28
• VGR: Visual Grounded Reasoning (2025)
  Jiacong Wang et al.
  1.28
• ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning (2025)
  Juyuan Wang et al.
  1.28
• Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs (2025)
  Yurun Chen et al.
  1.28
• MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent Environments (2025)
  Darshan Deshpande et al.
  1.28
• Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models (2025)
  Julianna Piskorz et al.
  1.28
• FIN-bench-v2: A Unified and Robust Benchmark Suite for Evaluating Finnish Large Language Models (2025)
  Joona Kytöniemi et al.
  1.28
• Multimodal Web Navigation with Instruction-Finetuned Foundation Models (2023)
  Hiroki Furuta et al.
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• Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases (2023)
  Zhangyang Qi et al.
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• Needle In A Multimodal Haystack (2024)
  Weiyun Wang et al.
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• video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models (2024)
  Guangzhi Sun et al.
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• Goldfish: Vision-Language Understanding of Arbitrarily Long Videos (2024)
  Kirolos Ataallah et al.
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• Knowledge Mechanisms in Large Language Models: A Survey and Perspective (2024)
  Mengru Wang et al.
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• MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models (2024)
  Peng Xia et al.
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• SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE (2024)
  Yongwei Chen et al.
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• VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding (2024)
  Kangsan Kim et al.
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• Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition (2024)
  Zhisheng Zhong et al.
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