Key papers

• Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts (2026)
  Yingfa Chen et al.
  1.94
• NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval (2026)
  Zhuchenyang Liu et al.
  1.94
• How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data (2026)
  Zixian Huang et al.
  1.94
• Latent Preference Modeling for Cross-Session Personalized Tool Calling (2026)
  Yejin Yoon et al.
  1.94
• From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills (2026)
  Zisu Huang et al.
  1.94
• AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents (2026)
  Yiheng Shu et al.
  1.94
• OpenSkill: Open-World Self-Evolution for LLM Agents (2026)
  Zhiling Yan et al.
  1.94
• PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems (2026)
  Suraj Ranganath et al.
  1.94
• See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agents (2026)
  Siyi Chen et al.
  1.94
• Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence (2026)
  Xuanle Zhao et al.
  1.94
• FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining (2026)
  Jinghong Lan et al.
  1.94
• ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer (2025)
  Lin Yueyu et al.
  1.28
• Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance (2025)
  Xueqing Peng et al.
  1.28
• Unicorn: Text-Only Data Synthesis for Vision Language Model Training (2025)
  Xiaomin Yu et al.
  1.28
• Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought (2025)
  Yi Peng et al.
  1.28
• When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs (2025)
  Abhirama Subramanyam Penamakuri et al.
  1.28
• ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality (2025)
  Shayne Longpre et al.
  1.28
• Beyond English: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs (2025)
  Yingfeng Luo et al.
  1.28
• One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning (2023)
  Arnav Chavan et al.
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• AudioPaLM: A Large Language Model That Can Speak and Listen (2023)
  Paul K. Rubenstein et al.
  —
• Weight subcloning: direct initialization of transformers using larger pretrained ones (2023)
  Mohammad Samragh et al.
  —
• Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models (2024)
  Jianyuan Guo et al.
  —
• LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters (2024)
  Xinyu Zhou et al.
  —
• Knowledge Composition using Task Vectors with Learned Anisotropic Scaling (2024)
  Frederic Z. Zhang et al.
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• Interleaved Scene Graph for Interleaved Text-and-Image Generation Assessment (2024)
  Dongping Chen et al.
  —