🔗 Who cites «When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks»

37 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks»

1. Long-context LLMs Struggle with Long In-context LearningarXiv:2404.02060Tianle Li, Ge Zhang, Quy Duc Do, et al.2024 · 138 citations
2. LLMs Get Lost In Multi-Turn ConversationarXiv:2505.06120Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.2025 · 82 citations
3. MAVEN-FACT: A Large-scale Event Factuality Detection DatasetFindings of the Association for Computational LinguisticsChunyang Li, Hao Peng, Xiaozhi Wang, et al.2024 · 6 citations
4. Contrastively Pre-trained Event Embeddings with Schema-free LLM AnnotationsLanguage Resources and Evaluation Conference (LREC)Frank Mtumbuka, Steven Schockaert2026
5. MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and ReasoningLanguage Resources and Evaluation Conference (LREC)Zimu Wang, Yuqi Wang, Tong Chen, et al.2026

32 more papers of our library cite it; they have no page here yet.

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