Papers

• The Distracting Effect: Understanding Irrelevant Passages in RAG (2025)
  Chen Amiraz et al.
  4.47
• Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math (2026)
  Dingjie Song et al.
  1.94
• Convergent Evolution: How Different Language Models Learn Similar Number Representations (2026)
  Deqing Fu et al.
  1.94
• Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance (2025)
  Xueqing Peng et al.
  1.28
• Visual-RFT: Visual Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading (2025)
  Cfir Avraham Hadar et al.
  1.28
• No Tokens Wasted: Leveraging Long Context in Biomedical Vision-Language Models (2025)
  Min Woo Sun et al.
  1.28
• LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM (2023)
  Wen-Yu Hua et al.
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• Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks (2023)
  Haiyang Xu et al.
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• Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations (2023)
  Hakan Inan et al.
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• InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks (2023)
  Zhe Chen et al.
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• LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons (2024)
  Zheng-Xin Yong et al.
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• Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use (2024)
  Imad Eddine Toubal et al.
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• ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models (2024)
  Ahmed Heakl et al.
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• LETS-C: Leveraging Language Embedding for Time Series Classification (2024)
  Rachneet Kaur et al.
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• Vector-ICL: In-context Learning with Continuous Vector Representations (2024)
  Yufan Zhuang et al.
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• GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models (2024)
  M. Jehanzeb Mirza 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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• ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models (2024)
  Vipula Rawte et al.
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