Joelzhang/ToolBeHonest
π οΈ [EMNLP 2024] ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models π Leaderboard | π Paper | π Data | π License π What's New [2024.09.20] π£ ToolBeHonest has been accepted for presentation at the main conference of EMNLP 2024! [2024.06.30] π£ ToolBeHonest Benchmark is released. π Introduction ToolBeHonest aims at diagnosing hallucination issues in large language models (LLMs) thatβ¦ See the full description on the dataset page: https://huggingface.co/datasets/Joelzhang/ToolBeHonest.
| Author / organization | Joelzhang |
|---|---|
| License (as declared) | mit |
| Downloads | 194 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 28 June 2024 |
| Last updated at source | 25 October 2024 |
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194 now (+3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: π οΈ [EMNLP 2024] ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models π Leaderboard | π Paper | π Data | π License π What's New [2024.09.20] π£ ToolBeHonest has been accepted for prese β π οΈ [EMNLP 2024] ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models π Leaderboard | π Paper | π Data | π License π What's New [2024.09.20] π£ ToolBeHonest has been accepted for prese
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