Changes related to running benchmark experiments for the paper: Support Qwen3.5 and thinking models, Skywork, truncation tracking, benchmark changes etc#32
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- fix dependencies - add structured output to prevent judge from not respecting the prompt
kargibora
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Apr 7, 2026
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- Switch from choice-based structured outputs to JSON schema constraint - Tighten vllm version range from >=0.17.0,<1.0.0 to >=0.17.0,<0.19.0
…ench baseline from huggingface and update huggingface repo
ErlisLushtaku
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…gex stripping since the structured output wasn't working for isolating thinking tokens anyway
ErlisLushtaku
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ErlisLushtaku
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Apr 17, 2026
…so that we have more customizability - Introduced `truncate_judge_input_chars` and `max_judge_model_len` to `BaseCliArgs` for better control over judge-side input limits.
- Refactor baseline assignment for Arena-Hard datasets to support different baselines based on category same as original benchmark.
ErlisLushtaku
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…ted token count for max_model_len
Includes-AI-Code: true
Add generation-only runs, turn-1 thinking cleanup for MT-Bench carryover, native baseline resolution across pairwise tasks, and API-reported token usage accounting for OpenRouter-style models. Add vLLM init retries to clearly transient CUDA startup failures.
Make MT-Bench judge budget floors warning-only, remove implicit judge argument fallbacks, collapse MT-Bench thinking stripping onto the judge stripping flag, and restore default prompt completion-label rendering.
This was referenced Apr 29, 2026
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Closed as it was splitted in independent PRs. |
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