Papers

• Hypencoder: Hypernetworks for Information Retrieval (2025)
  Julian Killingback et al.
  4.47
• Dual-View Training for Instruction-Following Information Retrieval (2026)
  Qingcheng Zeng et al.
  1.94
• Editor's Choice: Evaluating Abstract Intent in Image Editing through Atomic Entity Analysis (2026)
  Mor Ventura et al.
  1.94
• IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval (2025)
  Tingyu Song et al.
  1.28
• MM-IFEngine: Towards Multimodal Instruction Following (2025)
  Shengyuan Ding et al.
  1.28
• SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning (2025)
  Prabhat Pandey et al.
  1.28
• Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning (2025)
  Jikai Jin et al.
  1.28
• X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again (2025)
  Zigang Geng et al.
  1.28
• Language Self-Play For Data-Free Training (2025)
  Jakub Grudzien Kuba et al.
  1.28
• BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs (2025)
  Yue Wang et al.
  1.28
• Agentic Design of Compositional Machines (2025)
  Wenqian Zhang et al.
  1.28
• Multimodal Web Navigation with Instruction-Finetuned Foundation Models (2023)
  Hiroki Furuta et al.
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• VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use (2023)
  Yonatan Bitton et al.
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• TextBind: Multi-turn Interleaved Multimodal Instruction-following (2023)
  Huayang Li et al.
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• LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents (2023)
  Shilong Liu et al.
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• Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models (2023)
  Yunfei Chu et al.
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• Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models (2024)
  Guanting Dong et al.
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• Qwen2-Audio Technical Report (2024)
  Yunfei Chu et al.
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• LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning (2024)
  Yiming Shi et al.
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