Instructions to use PengxinWang/RobustLLMAgent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PengxinWang/RobustLLMAgent with PEFT:
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- Notebooks
- Google Colab
- Kaggle
Commit History
21 days ago
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Invalidate WebShop SPrPO training seeds 1 and 2 affected by request-seed bug
Verified signatureWithdraw experiment selection and paper eligibility. Preserve checkpoints, original run configs, and logs. No retraining.37541c4
26 days ago
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Use explicit download and catalog URLs in model card
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Standardize retained training artifacts at step200 and organize ablations
Verified signaturePublish checksum-verified step200 adapters, remove superseded step300/400 paths, preserve historical provenance and existing remote-only artifacts.136f147
27 days ago
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Add reproducible training overhead table for main experiments
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Reduce edge margins while preserving the original motivation canvas size
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Center clean-rate glyphs and tighten motivation whitespace
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Align motivation condition names exactly with bar centers
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Equalize motivation panel widths and reduce condition typography
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Fit relative-drop labels between bars and clean reference lines
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Place ALFWorld perturbation labels to the right of bars
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Move motivation condition labels closer to the plots
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Tighten motivation layout and remove explanatory footer
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28 days ago
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Restyle introduction figure with relative-drop labels and method-inspired pastel colors
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Redesign half-width motivation figure with matched Gaussian 0.20 and dropout 0.05
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Update ALFWorld SAM three-seed main results
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Add ALFWorld 1.5B single-layer FFN Channel-SAM step100/step200 (rho=0.005, cap=0.05) (#6)
- Add ALFWorld 1.5B single-layer FFN Channel-SAM step100/step200 (rho=0.005, cap=0.05) (5a588e781f42aa37acc26ec822745a7a53619778) Co-authored-by: Daivd Li <Davidk1@users.noreply.huggingface.co>f667567 -
Add qwen2_5_1_5_stable_gaussian_noise_v11_step_200_seed0 step200 LoRA adapter and run config (#5)
- Add qwen2_5_1_5_stable_gaussian_noise_v11_step_200_seed0 step200 LoRA adapter and run config (ff5c4919d2bc99c5ab7be56bd42c94e6b37e1bb9) Co-authored-by: Daivd Li <Davidk1@users.noreply.huggingface.co>6a3865b -
Add qwen2_5_1_5_stable_gaussian_noise_v9_step_200_seed0 step200 LoRA adapter and run config (#4)
- Add qwen2_5_1_5_stable_gaussian_noise_v9_step_200_seed0 step200 LoRA adapter and run config (2486653e11f22a0b12c61aa38bae58bb581ba58c) Co-authored-by: Daivd Li <Davidk1@users.noreply.huggingface.co>3844509
29 days ago
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Tighten main-result panel spacing in LaTeX and preview
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Publish step-200 main-result figures, plotting data, and LaTeX layout
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30 days ago
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Rename shared analysis group to perturbation_effect_across_stage
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Publish WebShop perturbation-geometry analysis figure and data
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Normalize step100 LoRA adapter configs and add step100 to manifests
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Add results/alfworld/robust_training/qwen2_5_7_gaussian_noise_step_200_seed0/checkpoints/global_step_100/actor/lora_adapter
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Add results/alfworld/training/qwen2_5_7_step_200_seed0/checkpoints/global_step_100/actor/lora_adapter
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Add results/webshop/training/qwen2_5_7_step_200_seed0/checkpoints/global_step_100/actor
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Add WebShop 7B single-layer FFN Channel-SAM step200 (rho=0.005, cap=0.05) (#2)
- Add WebShop 7B single-layer FFN Channel-SAM step200 (rho=0.005, cap=0.05) (9bba64e8481e5f012b380f31c51a801bfcbc13e5) Co-authored-by: Daivd Li <Davidk1@users.noreply.huggingface.co>56fdbbc
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Publish ALFWorld Qwen2.5-7B step200 clean-vs-gaussian evaluation results
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Publish qwen2_5_7_stable_gaussian_noise_step_200_seed0 step200 LoRA adapter for collaborator ALFWorld 7B handoff
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Publish qwen2_5_7_stable_gaussian_noise_step_200_seed0 step200 LoRA adapter for collaborator ALFWorld 7B handoff
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Publish qwen2_5_7_stable_gaussian_noise_step_200_seed0 step200 LoRA adapter for collaborator ALFWorld 7B handoff
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Publish qwen2_5_7_stable_gaussian_noise_step_200_seed0 step200 LoRA adapter for collaborator ALFWorld 7B handoff
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Remove redundant motivation README
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Remove redundant reward surface README
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Organize reward surface and motivation figures with reproducible CSV inputs
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Publish complete WebShop step200 three-seed evaluation results
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Remove superseded SAM-named evaluation figure
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Publish complete WebShop step200 three-seed evaluation results
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Use fresh cap 0.05 SAM as official step200 baseline
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Add WebShop single-layer FFN Channel-SAM step200 (rho=0.005, cap=0.05) (#1)
- Add WebShop single-layer FFN Channel-SAM step200 (rho=0.005, cap=0.05) (2be24292d326dab2fee8258dd1149b4dc5f8226a) Co-authored-by: Daivd Li <Davidk1@users.noreply.huggingface.co>aa7d451 -
Remove redundant evaluation package readme and manifest
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Update curated evaluation figures and reproducible data
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Use Vanilla, Plain Gaussian and Stable Gaussian algorithm labels
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Publish WebShop 1.5B Stable Gaussian step200 main result
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Simplify model card around step200 baseline and model download table
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Document unified 200-step training default for 1.5B and 7B
Verified signatureSet the documented default to step200 while preserving historical step300 artifact paths and accurately describing published weights. Documentation only; no checkpoint changes.b562238
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Publish four completed Qwen2.5-7B step-200 baseline adapters
Verified signatureALFWorld/WebShop clean and Gaussian baselines, seed 0; terminal LoRA adapters, original run configs, SHA256 manifests and loading instructions. Existing 1.5B artifacts retained.2f9d4a3
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Document four finalized step-300 evaluation baselines
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Publish evaluation-only step-300 LoRA baselines; remove training archive
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Archive baseline: alfworld/training/qwen2_5_1_5_step_300_seed0
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