| A Regret Minimization Framework on Preference Learning in Large Language Models added by Syntology |
2026-06 (from id) |
YSLIU627/Regularized-Preference-Optimization/OpenRLHF/openrlhf/datasets/unpaired_preference_dataset.py f4db4c93fe22b070 |
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Apache-2.0 (permissive) |
| SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training added by Syntology |
2026-02 (from id) |
RUCAIBox/SWE-Master/OpenRLHF_SFT/scripts_swe_master/sft_data_pre_tokenize.py a48d5458f99a6b87 |
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MIT (permissive) |
| SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training added by Syntology |
2026-02 (from id) |
RUCAIBox/SWE-Master/OpenRLHF_SFT/scripts_swe_master/sft_data_pre_tokenize_toolcall.py 31b049c55ece2f82 |
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MIT (permissive) |
| SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training added by Syntology |
2026-02 (from id) |
RUCAIBox/SWE-Master/OpenRLHF_SFT/scripts_swe_master/sft_dataset.py 3e9101bb92d47eb7 |
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MIT (permissive) |
| FARM: Few-shot Adaptive Malware Family Classification under Concept Drift added by Syntology |
2026-01 (from id) |
numanhg/farm/farm/preprocessing.py 264b4f8629fb2589 |
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| Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs |
21 Jun 2025 |
aoshuang92/splora/llama2_alpaca_pd_lora.py 6caafdd232227d6c |
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| Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs |
21 Jun 2025 |
aoshuang92/splora/llama2_diagsum_pd_lora.py c232d8c347b3b6fa |
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| EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements |
10 Jun 2025 |
sakanaai/edinet-bench/src/edinet_bench/logistic.py f738811c8a5b14ff |
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Apache-2.0 (permissive) |
| R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning |
5 May 2025 |
yfzhang114/r1_reward/openrlhf/datasets/reward_dataset.py 186719542da38f30 |
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Apache-2.0 (permissive) |
| MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning |
14 Apr 2025 |
fzp0424/mt-r1-zero/data/process_data.py 7fdb1a0328cc9d4a |
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Apache-2.0 (permissive) |
| VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning |
10 Apr 2025 |
tiger-ai-lab/vl-rethinker/openrlhf/datasets/prompts_dataset.py 8368fe60f5326faa |
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| A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules |
17 Mar 2025 |
thu-yao-01-luo/multipowerlaw/src/utils.py 2e1fc14a90913b68 |
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MIT (permissive) |
| Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions |
5 Mar 2025 |
nightingal3/llm-pretraining-behaviours/performance_prediction/performance_predict_from_db.py c2e9a027226aca3d |
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| Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs |
13 Feb 2025 |
amazon-science/PrefEval/SFT/train_sft.py fa9be43aab6cf2aa |
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| The Price of Prompting: Profiling Energy Use in Large Language Models Inference |
4 Jul 2024 |
ejhusom/melodi/src/train_forecasting_model.py dceaa34a68276fe1 |
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| AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding |
19 Jun 2024 |
alanaai/evud/gemini/prepare_ego4d_vqa_gemini_dataset.py cd7e60a6f8674afa |
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MIT (permissive) |
| Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation |
3 Jun 2024 |
zlin7/contextsl/dataeval/nq_open_new.py 0251f96f3be99807 |
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MIT (permissive) |
| Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation |
3 Jun 2024 |
zlin7/contextsl/dataeval/triviaqa_new.py 874d540a196bc77b |
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MIT (permissive) |
| HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent |
2024-06 (from id) |
jie-jw-wu/human-eval-comm/AgentFramework/designer.py 491a124a37148dfd |
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| HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent |
2024-06 (from id) |
jie-jw-wu/human-eval-comm/AgentFramework/executor.py b231819920453b1d |
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| HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent |
2024-06 (from id) |
jie-jw-wu/human-eval-comm/AgentFramework/programmer.py 854e64377cfc300a |
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| Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models |
13 May 2024 |
HKUST-KnowComp/SANDE/dataset.py 775a2e3aee27b5c8 |
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MIT (permissive) |
| Position: Quo Vadis, Unsupervised Time Series Anomaly Detection? |
4 May 2024 |
ssarfraz/QuoVadisTAD/quovadis_tad/dataset_utils/data_utils.py baeee7bf45f131bd |
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MIT (permissive) |
| Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment |
29 Feb 2024 |
OpenBMB/CPO/src/CDPO/cdpo/cdpo_ultrafeedback.py fba000175d7bcb8e |
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MIT (permissive) |
| Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment |
29 Feb 2024 |
OpenBMB/CPO/src/CDPO/cdpo/cdpo_ultrasafety.py 97785ad2ada07093 |
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MIT (permissive) |
| Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents |
14 Feb 2024 |
hbx-hbx/mistral-interact/src/sft.py 3c0273dded3c124d |
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Apache-2.0 (permissive) |
| AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation |
20 Dec 2023 |
huangd1999/AgentCoder/src/programmer_humaneval.py e5eeb9ec29247e67 |
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| Sampling Methods for Inner Product Sketching |
2023-09 (from id) |
vida-nyu/samplingmethodsforinnerproductsketching/script/experiment_20news.py b82b89ccee261003 |
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| Improving Unsupervised Visual Program Inference with Code Rewriting Families |
26 Sep 2023 |
BardOfCodes/coref/coref/dataloader/shapes_data.py c2b11afcdad50d08 |
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MIT (permissive) |
| Large Language Models Perform Diagnostic Reasoning |
18 Jul 2023 |
nlplab-best-team/diagnostic-reasoning/eda/utils.py a544b157dd386e5e |
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| I'm Afraid I Can't Do That: Predicting Prompt Refusal in Black-Box Generative Language Models |
6 Jun 2023 |
maxwellreuter/chatgpt-refusals/data_processing.py 33ca67b23dd794c6 |
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MIT (permissive) |
| Can Large Language Models Capture Dissenting Human Voices? |
23 May 2023 |
xfactlab/emnlp2023-LLM-Disagreement/utils/visualize.py c501787fde562c3c |
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MIT (permissive) |
| Neural Refinement for Absolute Pose Regression with Feature Synthesis |
17 Mar 2023 |
ActiveVisionLab/NeFeS/script/dm/pose_model.py 1d4f466dd0b12111 |
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MIT (permissive) |
| GFPose: Learning 3D Human Pose Prior with Gradient Fields |
16 Dec 2022 |
Embracing/GFPose/run/visualize.py 2f4ab069f8c74953 |
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Apache-2.0 (permissive) |
| KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction |
4 Nov 2022 |
ibpa/kglm/src/utils/preprocess_data.py 18b9c7deeedbe427 |
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Apache-2.0 (permissive) |
| Latent Neural ODEs with Sparse Bayesian Multiple Shooting |
7 Oct 2022 |
yakovlev31/msvi/msvi/utils/bballs.py fdd634b9d9124a80 |
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MIT (permissive) |
| Transformers with Learnable Activation Functions |
30 Aug 2022 |
ukplab/2022-raft/run_mlm.py 1283d0e322799e75 |
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Apache-2.0 (permissive) |
| DFNet: Enhance Absolute Pose Regression with Direct Feature Matching |
1 Apr 2022 |
activevisionlab/dfnet/script/dm/pose_model.py 1d4f466dd0b12111 |
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MIT (permissive) |
| Machine learning discovery of new phases in programmable quantum simulator snapshots |
20 Dec 2021 |
KimGroup/QGasML/lassopath.py 4199f8e7c0c6ab7e |
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MIT (permissive) |
| Machine learning discovery of new phases in programmable quantum simulator snapshots |
20 Dec 2021 |
KimGroup/QGasML/lassopath_ovr.py 727f94645379b981 |
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MIT (permissive) |
| Direct-PoseNet: Absolute Pose Regression with Photometric Consistency |
8 Apr 2021 |
ActiveVisionLab/direct-posenet/script/pose_model.py 1d4f466dd0b12111 |
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MIT (permissive) |
| Neurosymbolic Transformers for Multi-Agent Communication |
5 Jan 2021 |
jinala/multi-agent-neurosym-transformers/main/train_dt.py 4a8ac0850c83446e |
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| Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion |
3 Nov 2020 |
dongfang-steven-yang/faraway-frustum/step2_get_kitti_results.py 81fda250de9b50a3 |
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| Graph Neural Networks in TensorFlow and Keras with Spektral |
22 Jun 2020 |
danielegrattarola/spektral/spektral/datasets/graphsage.py 5dd02dc57931ba2f |
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MIT (permissive) |
| Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer |
23 Oct 2019 |
shivamraval98/multitask-t5_ae/src/models/T5Model/t5_utils.py 2366fa00a16ea6b4 |
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MIT (permissive) |
| PointNetLK: Robust & Efficient Point Cloud Registration using PointNet |
13 Mar 2019 |
vinits5/PointNetLK/utils/data_utils.py b7f8841b68729bda |
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| A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations |
3 Mar 2019 |
asgsaeid/KernelizedManifoldMapping/data.py 39dc1f035e3f9c9d |
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MIT (permissive) |
| Surrogate Gradient Learning in Spiking Neural Networks |
28 Jan 2019 |
honzikv/use-of-snn/experiments/bnci_horizon_experiment/data_preprocessing.py 380b232e5ab07df5 |
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MIT (permissive) |
| PadChest: A large chest x-ray image dataset with multi-label annotated reports |
22 Jan 2019 |
rajpurkarlab/chexzero/preprocess_padchest.py 7c2197559c73f7c3 |
unverified |
MIT (permissive) |
| A generic framework for privacy preserving deep learning |
9 Nov 2018 |
SanaAwan5/transfer_learning_on_mnist_spdz/dataset.py ad5eca2af374293a |
unverified |
Apache-2.0 (permissive) |
| A generic framework for privacy preserving deep learning |
9 Nov 2018 |
SanaAwan5/transfer_learning_on_mnist_spdz/dataset_emnist.py cf1ca8eb225f00e9 |
unverified |
Apache-2.0 (permissive) |
| Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data |
27 Jun 2018 |
wooden-spoon/relational-ERM/src/relational_erm/data_processing/pokec.py f4e29a9d525179a1 |
unverified |
MIT (permissive) |
| Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data |
27 Jun 2018 |
wooden-spoon/relational-ERM/src/relational_erm/data_processing/wikipedia_hyperlink.py c26027e156fcba64 |
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MIT (permissive) |
| arXiv:2024.findings-emnlp.649 |
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alanaai/EVUD/gemini/prepare_ego4d_vqa_gemini_dataset.py cd7e60a6f8674afa |
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MIT (permissive) |