Key papers

• Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation (2026)
  Pingzhi Tang et al.
  1.94
• MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods (2026)
  Honglin Lin et al.
  1.94
• 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
• PLDR-LLMs Reason At Self-Organized Criticality (2026)
  Burc Gokden
  1.94
• CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models (2026)
  Wenxuan Song et al.
  1.94
• CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation (2026)
  Fangtai Wu et al.
  1.94
• FullDiT: Multi-Task Video Generative Foundation Model with Full Attention (2025)
  Xuan Ju et al.
  1.28
• Instruction-Guided Autoregressive Neural Network Parameter Generation (2025)
  Soro Bedionita et al.
  1.28
• Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking (2025)
  Chris Samarinas et al.
  1.28
• Bielik 11B v2 Technical Report (2025)
  Krzysztof Ociepa et al.
  1.28
• AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning (2025)
  Yang Chen et al.
  1.28
• Kinetics: Rethinking Test-Time Scaling Laws (2025)
  Ranajoy Sadhukhan et al.
  1.28
• (Almost) Free Modality Stitching of Foundation Models (2025)
  Jaisidh Singh et al.
  1.28
• Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation (2025)
  Peiyu Wang et al.
  1.28
• Provable Benefits of In-Tool Learning for Large Language Models (2025)
  Sam Houliston et al.
  1.28
• SAIL-VL2 Technical Report (2025)
  Weijie Yin et al.
  1.28
• Beyond Outliers: A Study of Optimizers Under Quantization (2025)
  Georgios Vlassis et al.
  1.28
• Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains (2025)
  Austin Xu et al.
  1.28
• TurkColBERT: A Benchmark of Dense and Late-Interaction Models for Turkish Information Retrieval (2025)
  Özay Ezerceli et al.
  1.28
• Improving Recursive Transformers with Mixture of LoRAs (2025)
  Mohammadmahdi Nouriborji et al.
  1.28
• LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM (2023)
  Wen-Yu Hua et al.
  —
• One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning (2023)
  Arnav Chavan et al.
  —
• From Sparse to Soft Mixtures of Experts (2023)
  Joan Puigcerver et al.
  —
• OctoPack: Instruction Tuning Code Large Language Models (2023)
  Niklas Muennighoff 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.
  —
• Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing (2024)
  Huanqian Wang et al.
  —
• SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation (2024)
  Teng Hu et al.
  —
• TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (2024)
  Haiyang Wang et al.
  —