Papers

• Ministral 3 (2026)
  Alexander H. Liu et al.
  1.94
• Demystifying When Pruning Works via Representation Hierarchies (2026)
  Shwai He et al.
  1.94
• SeGPruner: Semantic-Geometric Visual Token Pruner for 3D Question Answering (2026)
  Wenli Li et al.
  1.94
• MAAT: Multi-phase Adapter-Aware Targeted Unlearning (2026)
  Suryash Yagnik et al.
  1.94
• SDR: Set-Distance Rewards for Radiology Report Generation (2026)
  Halil Ibrahim Gulluk et al.
  1.94
• BEAVER: A Training-Free Hierarchical Prompt Compression Method via Structure-Aware Page Selection (2026)
  Zhengpei Hu et al.
  1.78
• QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension (2025)
  Yongdong Luo et al.
  1.28
• StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling (2025)
  Meng Wei et al.
  1.28
• Finding Dori: Memorization in Text-to-Image Diffusion Models Is Less Local Than Assumed (2025)
  Antoni Kowalczuk et al.
  1.28
• Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal (2025)
  Wenhao Zeng et al.
  1.28
• Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models (2025)
  Tianfan Peng et al.
  1.28
• Understanding and Harnessing Sparsity in Unified Multimodal Models (2025)
  Shwai He et al.
  1.28
• Alchemist: Unlocking Efficiency in Text-to-Image Model Training via Meta-Gradient Data Selection (2025)
  Kaixin Ding et al.
  1.28
• Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems (2023)
  Huan Gui et al.
  —
• PathFinder: Guided Search over Multi-Step Reasoning Paths (2023)
  Olga Golovneva et al.
  —
• An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models (2024)
  Liang Chen et al.
  —
• LLM Pruning and Distillation in Practice: The Minitron Approach (2024)
  Sharath Turuvekere Sreenivas et al.
  —
• SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation (2024)
  Teng Hu et al.
  —
• A Survey of Small Language Models (2024)
  Chien Van Nguyen et al.
  —
• HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems (2024)
  Jiejun Tan et al.
  —