README: document the complete-session tier
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README.md
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@@ -6,13 +6,68 @@ tags: [mobile-gui-agent, agent-memory, benchmark-results, memgui-bench, mobilewo
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# MemGUI-RL-Eval
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Evaluation logs of every model row reported in the ICLR 2027 submission *MemGUI-RL*
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(project page: https://memgui-rl-anonymous.github.io/).
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* `memgui_bench/<session>.zip` - per-task ConAct trajectories (`traj.json`, three attempts where applicable),
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MemGUI-Eval judge outputs (`results.csv`, per-attempt judgments, failure labels, information-retention
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analyses) and run metadata
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* `mobileworld/<session>.zip` - per-task trajectories and the MobileWorld GUI-only evaluation report.
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# MemGUI-RL-Eval
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Evaluation logs of every model row reported in the ICLR 2027 submission *MemGUI-RL*
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(project page: https://memgui-rl-anonymous.github.io/). The release has two tiers.
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## Tier 1 - compact bundles (about 110 MB in total)
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* `memgui_bench/<session>.zip` - per-task ConAct trajectories (`traj.json`, three attempts where applicable),
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MemGUI-Eval judge outputs (`results.csv`, per-attempt judgments, failure labels, information-retention
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analyses) and run metadata; screenshots omitted. The paper's case-study tasks are included under
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`case_studies/` with down-scaled screenshots.
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* `mobileworld/<session>.zip` - per-task trajectories and the MobileWorld GUI-only evaluation report.
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## Tier 2 - complete sessions (627 GB in total)
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Everything the evaluation harness wrote, including every device screenshot, the per-step request sent to
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the policy (prompt, folded history, memory state, response), the MemGUI-Eval judge inputs and outputs,
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thread logs and the `results.csv` ledgers.
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* `memgui_bench_full/<session>/<session>.tasks_AAA-BBB.zip` - all files of tasks `AAA`..`BBB`
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(top-level task directory, `_attempt_trajs/<task>` for attempts 2-3, `_memgui_eval/<task>` judge files;
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`_backup_<timestamp>` directories are the harness's copies of interrupted or re-run tasks).
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* `memgui_bench_full/<session>/<session>.session_files.zip` - everything that is not a task directory
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(run metadata, eval reports, `results.csv`, thread logs). For the two sessions that were archived from a
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local copy (`session-memgui-v26050803`, `memgui-8b-26062202`) this archive also carries the
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`_attempt_trajs` and `_memgui_eval` trees, which is why it is large.
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* `mobileworld_full/<session>/<session>.zip` - the complete MobileWorld session.
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All archives are stored uncompressed (screenshots do not compress); unzip them into one directory per
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session to rebuild the original layout, e.g.
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```bash
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huggingface-cli download memgui-rl/MemGUI-RL-Eval --repo-type dataset \
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--include "memgui_bench_full/memgui_8b_on_mg_26072401/*" --local-dir ./eval
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cd eval/memgui_bench_full/memgui_8b_on_mg_26072401 && for z in *.zip; do unzip -q -o "$z"; done
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```
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| Paper row | Benchmark | Session | Full archives | Full size (GB) |
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|---|---|---|---|---|
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| MemGUI-8B-SFT (MemGUI-Agent release; RL initialisation) | MemGUI-Bench | `session-memgui-v26050803` | 9 | 46.1 |
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| MemGUI-8B-SFT (MemGUI-Agent release; RL initialisation) | MobileWorld | `memgui_8b_26050801` | 1 | 2.2 |
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| FARPO rho=9 = MemGUI-8B-RL (128 tasks / 40-task development subset) | MemGUI-Bench | `memgui_8b_on_mg_26072401` | 25 | 91.3 |
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| FARPO rho=9 = MemGUI-8B-RL (128 tasks / 40-task development subset) | MemGUI-Bench | `memgui_8b_on_mg_26062901` | 4 | 13.1 |
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| FARPO rho=9 = MemGUI-8B-RL (128 tasks / 40-task development subset) | MobileWorld | `memgui_on_mw_8b_26062801` | 1 | 2.4 |
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| natural corpus, all folds (sweep) | MemGUI-Bench | `memgui-8b-26062202` | 6 | 29.9 |
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| natural corpus, all folds (sweep) | MobileWorld | `memgui_8b_26062302` | 1 | 2.1 |
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| span folds only (sweep) | MemGUI-Bench | `memgui-8b-26062201` | 4 | 13.0 |
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| span folds only (sweep) | MobileWorld | `memgui_8b_26062301` | 1 | 2.4 |
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| rho=4 (sweep) | MemGUI-Bench | `memgui_8b_on_mg_26070401` | 4 | 13.9 |
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| rho=4 (sweep) | MobileWorld | `memgui_on_mw_8b_26070301` | 1 | 2.2 |
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| rho=3 (sweep) | MemGUI-Bench | `memgui_8b_on_mg_26070602` | 4 | 10.8 |
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| rho=3 (sweep) | MobileWorld | `memgui_on_mw_8b_26070602` | 1 | 2.5 |
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| rho=2 (sweep) | MemGUI-Bench | `memgui_8b_on_mg_26070702` | 4 | 13.4 |
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| rho=2 (sweep) | MobileWorld | `memgui_on_mw_8b_26070603` | 1 | 2.4 |
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| rho=1/4, reverts to the natural ratio (sweep) | MemGUI-Bench | `memgui_8b_on_mg_26070701` | 4 | 14.2 |
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| rho=1/4, reverts to the natural ratio (sweep) | MobileWorld | `memgui_on_mw_8b_26070601` | 1 | 2.8 |
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| direct RL from Qwen3-VL-8B-Instruct (rho=9) | MemGUI-Bench | `memgui_8b_on_mg_26090601` | 9 | 86.9 |
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| direct RL from Qwen3-VL-8B-Instruct (rho=9) | MobileWorld | `memgui_on_mw_8b_26090601` | 1 | 2.2 |
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| ablation e0f0: scalar estimator, natural sampling (MemGUI-Eval judgments failed; trajectories only) | MemGUI-Bench | `memgui_8b_on_mg_26090701` | 36 | 96.5 |
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| ablation e0f0: scalar estimator, natural sampling (MemGUI-Eval judgments failed; trajectories only) | MobileWorld | `memgui_on_mw_8b_26090701` | 1 | 2.9 |
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| ablation e1f0: reward decoupling, natural sampling | MemGUI-Bench | `memgui_8b_on_mg_26090901-check1` | 9 | 68.5 |
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| ablation e1f0: reward decoupling, natural sampling | MobileWorld | `memgui_on_mw_8b_26090901-check1` | 1 | 2.6 |
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| ablation e0f1: scalar estimator, folding-aware sampling (evaluation in progress at submission time) | MemGUI-Bench | `memgui_8b_on_mg_26091201-check1` | 9 | 99.5 |
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| ablation e0f1: scalar estimator, folding-aware sampling (evaluation in progress at submission time) | MobileWorld | `memgui_on_mw_8b_26091201-check1` | 1 | 2.6 |
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`manifest.json` maps every archive (compact and full) to the row of the paper it supports.
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Serving-endpoint identifiers, judge model ids, API keys and local paths are redacted in all text files;
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screenshots are unmodified.
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