Key papers

• VIBE: Visual Instruction Based Editor (2026)
  Grigorii Alekseenko et al.
  1.94
• Artificial Entanglement in the Fine-Tuning of Large Language Models (2026)
  Min Chen et al.
  1.94
• Ministral 3 (2026)
  Alexander H. Liu et al.
  1.94
• CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction (2026)
  Yinghao Ma et al.
  1.94
• BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning (2026)
  Tarjei Paule Hage et al.
  1.94
• ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning (2026)
  Ruizhong Qiu et al.
  1.94
• Process Reward Agents for Steering Knowledge-Intensive Reasoning (2026)
  Jiwoong Sohn et al.
  1.94
• Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution (2026)
  Liliana Hotsko et al.
  1.94
• MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning (2026)
  Ionut-Vlad Modoranu et al.
  1.89
• VaaWIT: Visual-Aware Adaptation of Large Language Models for Multilingual Web Image Translation (2026)
  Bo Li et al.
  1.89
• Adapting Multilingual Embedding Models to Turkish via Cross-Lingual Tokenizer Surgery and Offline Distillation (2026)
  M. Ali Bayram et al.
  1.89
• ASA: Training-Free Representation Engineering for Tool-Calling Agents (2026)
  Youjin Wang et al.
  1.72
• FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading (2025)
  Guojun Xiong et al.
  1.28
• Dedicated Feedback and Edit Models Empower Inference-Time Scaling for Open-Ended General-Domain Tasks (2025)
  Zhilin Wang et al.
  1.28
• Why Personalizing Deep Learning-Based Code Completion Tools Matters (2025)
  Alessandro Giagnorio et al.
  1.28
• SmolVLM: Redefining small and efficient multimodal models (2025)
  Andrés Marafioti et al.
  1.28
• EfficientLLM: Efficiency in Large Language Models (2025)
  Zhengqing Yuan et al.
  1.28
• GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning (2025)
  Yeonjoon Jung et al.
  1.28
• LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning (2025)
  Zihang Liu et al.
  1.28
• SingLoRA: Low Rank Adaptation Using a Single Matrix (2025)
  David Bensaïd et al.
  1.28
• SITTA: A Semantic Image-Text Alignment for Image Captioning (2023)
  Fabian Paischer et al.
  —
• PASTA: Pretrained Action-State Transformer Agents (2023)
  Raphael Boige et al.
  —
• Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following (2023)
  Ziyu Guo et al.
  —
• On the Scalability of Diffusion-based Text-to-Image Generation (2024)
  Hao Li et al.
  —
• Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning (2024)
  Kaiwen Wang et al.
  —
• LLM Pruning and Distillation in Practice: The Minitron Approach (2024)
  Sharath Turuvekere Sreenivas et al.
  —
• Discriminative Fine-tuning of LVLMs (2024)
  Yassine Ouali et al.
  —