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Taehun Huh

1 accepted papers

2025

TRUEBench: Can LLM Response Meet Real-world Constraints as Productivity Assistant?

EMNLP 2025

Large language models (LLMs) are increasingly integral as productivity assistants, but existing benchmarks fall short in rigorously evaluating their real-world instruction-following capabilities. Current benchmarks often (i) lack sufficient multilinguality, (ii) fail to capture the implicit constrai

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