Papers

• Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models (2026)
  Hyunjong Ok et al.
  1.94
• The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think (2025)
  Seongyun Lee et al.
  1.28
• When Does Reasoning Matter? A Controlled Study of Reasoning's Contribution to Model Performance (2025)
  Nicolas Boizard et al.
  1.28
• FIN-bench-v2: A Unified and Robust Benchmark Suite for Evaluating Finnish Large Language Models (2025)
  Joona Kytöniemi et al.
  1.28
• VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs (2024)
  Zesen Cheng et al.
  —
• Self-Recognition in Language Models (2024)
  Tim R. Davidson et al.
  —
• MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models (2024)
  Fanqing Meng et al.
  —
• CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs (2024)
  Dung Nguyen Manh et al.
  —
• MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models (2024)
  Mahir Labib Dihan et al.
  —