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Minyang Tian

2 accepted papers

2025

Context Length Alone Hurts LLM Performance Despite Perfect Retrieval

EMNLP 2025

Large language models (LLMs) often fail to scale their performance on long-context tasks performance in line with the context lengths they support. This gap is commonly attributed to retrieval failures—the models’ inability to identify information in the long inputs that is relevant to the task they

Cited by 0SourcePDFScholar
2024

SciCode: A Research Coding Benchmark Curated by Scientists

NeurIPS 2024poster

Since language models (LMs) now outperform average humans on many challenging tasks, it is becoming increasingly difficult to develop challenging, high-quality, and realistic evaluations. We address this by examining LM capabilities to generate code for solving real scientific research problems. Inc…

Cited by 18SourcePDFScholar