Key papers

• Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding (2026)
  Zhongxing Xu et al.
  1.94
• Agentic Reasoning for Large Language Models (2026)
  Tianxin Wei et al.
  1.67
• Reinforcement Learning via Self-Distillation (2026)
  Jonas Hübotter et al.
  1.67
• In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2025)
  Zechuan Zhang et al.
  1.28
• Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering (2025)
  Akash Gupta et al.
  1.28
• Specification Self-Correction: Mitigating In-Context Reward Hacking Through Test-Time Refinement (2025)
  Víctor Gallego
  1.28
• Cut2Next: Generating Next Shot via In-Context Tuning (2025)
  Jingwen He et al.
  1.28
• UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios (2025)
  Haotian Luo et al.
  1.28
• Cross-Lingual Supervision improves Large Language Models Pre-training (2023)
  Andrea Schioppa et al.
  —
• Supervised Pretraining Can Learn In-Context Reinforcement Learning (2023)
  Jonathan N. Lee et al.
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• RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models (2023)
  Jie Huang et al.
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• Context-Aware Meta-Learning (2023)
  Christopher Fifty et al.
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• In-Context Learning Creates Task Vectors (2023)
  Roee Hendel et al.
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• ChatAnything: Facetime Chat with LLM-Enhanced Personas (2023)
  Yilin Zhao et al.
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• VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation (2023)
  Jinguo Zhu et al.
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• Generative Multimodal Models are In-Context Learners (2023)
  Quan Sun et al.
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• PokéLLMon: A Human-Parity Agent for Pokémon Battles with Large Language Models (2024)
  Sihao Hu et al.
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• OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text (2024)
  Qingyun Li et al.
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• xGen-MM (BLIP-3): A Family of Open Large Multimodal Models (2024)
  Le Xue et al.
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• Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning (2024)
  Gang Liu et al.
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• Differential Transformer (2024)
  Tianzhu Ye et al.
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• Vector-ICL: In-context Learning with Continuous Vector Representations (2024)
  Yufan Zhuang et al.
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• GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models (2024)
  M. Jehanzeb Mirza et al.
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• In-Context LoRA for Diffusion Transformers (2024)
  Lianghua Huang 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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• Gated Delta Networks: Improving Mamba2 with Delta Rule (2024)
  Songlin Yang et al.
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