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da989ea665
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Align with local evalscope run.py (full read-through): (1) shuffle+seed42 sample selection identical to es _shuffle_in_place -- same exact sample subset both frameworks; (2) official MATH_PROMPT_TEMPLATE CoT boxed suffix on 7 math benches via DatasetSpec.prompt_suffix; (3) per-bench gen_config (temp/max_tokens from dpv4 yaml) on DatasetSpec, default-merged into gen_kwargs
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2026-08-27 11:25:17 +00:00 |
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e32da10ce9
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longbench_v2 chain of fixes: reasoning_content output fallback (Qwen3 thinking channel), nothink soft switch /no_think (template-400 immune), truncation input+output budget, adaptive context shrink on server 400 (cross-tokenizer margin, body-aware detection), pool fails over on 4xx
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2026-08-27 06:27:59 +00:00 |
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c4473a1e1c
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Token-level middle truncation (ported from evalside run.py: head+tail 128k, mrcr message-window); max_input_tokens param; perf fields (ttft/itl/status/retries) verified persisted in checkpoints
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2026-08-27 03:23:33 +00:00 |
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e77ea4ce5c
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!perf spec flag; perf_stats full dashboard columns (success_rate, latency/ttft/tpot mean+P90+P99, tokens mean/total, output TPS, request QPS); summary.csv perf columns aligned
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2026-08-27 02:49:55 +00:00 |
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f2a914d0ff
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Performance profile: TTFT/ITL via SSE streaming (collect_perf flag), retries/http_status per request, pool success/retry/failure rates, perf_stats aggregator (P50/P95/P99 latency+ttft, tokens, retry_rate) in metric_groups['perf']; verified on fake SSE server
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2026-08-27 02:45:51 +00:00 |
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111336cbee
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ladder20 complete 28/28 (Qwen3-8B pool): fixes en route — tau2 off-loop executor, double-encoded tool args, shared adapter cache; swe real-model 0.0 (oracle path verified 1.0)
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2026-08-26 10:37:54 +00:00 |
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3d16e9647a
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Tool-call parsing: Qwen3 native <tool_call> XML fallback in _parse (parser-agnostic, zero overhead when server converts properly)
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2026-08-26 06:29:49 +00:00 |
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7114564301
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Multi-endpoint model pool (openai-pool/{lo..hi} round-robin with failover), nothink/textools spec flags (chat_template_kwargs enable_thinking=false; text-protocol tool calls for backends without --enable-auto-tool-choice), global cross-bench queue in ladder runs
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2026-08-26 06:26:52 +00:00 |
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f3514d7c08
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Fix checkpoint cross-contamination (scope by dataset name from run_eval, not inferred); ladder20 comparison artifacts
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2026-08-26 02:24:00 +00:00 |
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78459c974e
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tau2 via OFFICIAL engine: self-running env plugin (run_task hook + needs_adapter generic dispatch, no name hardcoding), deep generate() patch, official ToolCall shape, data plugin keeps verbatim Task json, official reward scoring; checkpoint plugin (per-sample resume) + summary csv with time/categories
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2026-08-25 11:06:08 +00:00 |
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85dd193bcf
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Execution-bench fixes verified on real model: BCB standalone-module + unittest semantics (100%), LCB base64+zlib+pickle private cases + line-normalized runner (100%), code_any def-start heuristic, general_fc should-call-tool semantics (80%), bfcl real-model 51 samples/17 categories (45.1%, multi_turn needs stateful env - known)
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2026-08-25 10:48:20 +00:00 |
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1da665fec4
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Add --limit-per-task (per-subset cap, evalscope --limit semantics; composable with --limit as intersection); execution-bench parity verified: official human-eval core 5/5 == our docker sandbox on same completions
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2026-08-25 05:18:23 +00:00 |
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d830e08923
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Drop logprob scoring path entirely; MCQ = strict-letter generation (evalscope parity 'ANSWER: X'), few-shot defaults stay; fix output.py duplication
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2026-08-25 02:26:26 +00:00 |
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a8d3400ed5
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Paper-faithful eval: P1 logprob scoring (completions_echo + chat_first_token fallback, sglang top_logprobs parser), few_shot_num dataset defaults (mmlu5/cmmlu5/mmlu_pro5/gsm8k4/math4/drop3), official BBH 3-shot CoT vendored, strict_letter default prompt (evalscope parity), official simpleqa grader prompt
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2026-08-25 02:21:59 +00:00 |
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a32d902e94
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Comparison-driven fixes: MCQ choices in prompt + letter contract, Answer: suffix for QA, markdown answer cleaning, trivia_qa answer_phrase priority, DROP gold-as-alternatives (OR) official semantics, retry on 5xx, numpy/scipy compat
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2026-08-24 15:48:42 +00:00 |
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3d16ab9103
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Add SWE-bench single-turn harness (patch apply + FAIL_TO_PASS in official sweb image, sh entries in docker sandbox), bigcodebench official all-libs image, docker default for humaneval/LCB, input truncation (max_input_chars) + context assembly (passage/context), API retry with backoff, judge thread-safe bridge, parquet blob integrity check, summary.csv in out-dir, sandbox prefetch CLI
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2026-08-24 08:43:49 +00:00 |
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b2e7133b20
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Add sandbox layer (docker exec hard-isolation + serve envs, refcounted acquire/release, atexit teardown, bind-mount sharing) and agent evaluation driver (message pump drive(), Trajectory, bfcl_mock env with official call-sequence scoring, mock:fc oracle); Deployer delegates to sandbox.serve_env; code_any extractor fixes indentation-stripping; CLI --env
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2026-08-24 07:11:03 +00:00 |
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6b3bb330c7
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Add model layer: async ModelAdapter (openai_compatible + mock) returning structured ModelOutput(text,tool_calls,usage), Deployer registry (vllm/sglang docker-pinned via models.yaml, external), async run_eval generate->score, CLI --model, agent-ready SampleResult.trajectory/env_state, tests
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2026-08-24 06:28:00 +00:00 |
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