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kaist-cvml/perception-judge/prepare-datasets/post_processing_filter_after_gen.py 9e9e9289a06c8157 |
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2026-05 (from id) |
joyboseroy/rti-bench/pipeline/extract_cic_pdfs_v4.py 67c1faa4ce7ef4b3 |
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MIT (permissive) |
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2026-05 (from id) |
mohammadkhsh/TriBand-BEV/result_final_inter.py 88f89f03faae952f |
ran
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MIT (permissive) |
| Prompts Without Evidence: How Neuroimaging Mentions Shift Clinical Vision-Language Model Predictions added by Syntology |
2026-03 (from id) |
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| Prompts Without Evidence: How Neuroimaging Mentions Shift Clinical Vision-Language Model Predictions added by Syntology |
2026-03 (from id) |
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2026-03 (from id) |
ChunXiaostudy/TreeTeaming/benchmark/score_jsonl.py 8d053a9f8dca0089 |
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| arXiv:2507.10225 |
2025-07 (from id) |
Jarvisgivemeasuit/SynOOD/texts/clean_prompt.py 0b8c67201af06908 |
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Apache-2.0 (permissive) |
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28 May 2025 |
sara-fish/gen-soc-choice-next-gen/synthetic_experiments/process.py 255faefc4183008f |
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MIT (permissive) |
| OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation |
26 May 2025 |
PKU-YuanGroup/OpenS2V-Nexus/data_process/step3-0_merge_json.py 8310d1132ebd9370 |
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Apache-2.0 (permissive) |
| OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation |
26 May 2025 |
PKU-YuanGroup/OpenS2V-Nexus/data_process/step4-0_merge_json.py 4a34cdc1b72ef759 |
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Apache-2.0 (permissive) |
| Self-Training Elicits Concise Reasoning in Large Language Models |
27 Feb 2025 |
tergelmunkhbat/concise-reasoning/src/estimated_budget_process.py 3edbfe5817ad1b08 |
unverified |
MIT (permissive) |
| Self-Training Elicits Concise Reasoning in Large Language Models |
27 Feb 2025 |
tergelmunkhbat/concise-reasoning/src/preprocess.py c687c5d4e753d025 |
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MIT (permissive) |
| LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs |
10 Jan 2025 |
mbzuai-oryx/llamav-o1/eval/get_result.py 4fcf4b31c07c510c |
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Apache-2.0 (permissive) |
| One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity |
7 Nov 2024 |
skmur/onefish-twofish/analysis/process-data.py a50db35d03e3fa4d |
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| Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios |
22 Oct 2024 |
nus-hpc-ai-lab/edf/calculate_the_ratio.py ad84d1668d85b6ba |
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| Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners |
3 Oct 2024 |
manhph2211/D-BETA/datasets/n3s.py 0d81a17c01ba1f9a |
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| EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models |
26 Sep 2024 |
MaLA-LM/emma-500/evaluation/Aya/evaluate.py cfcff66fced80dfc |
ran
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| Automated Review Generation Method Based on Large Language Models |
30 Jul 2024 |
tju-ecat-ai/automaticreviewgeneration/ReviewComposition/Advanced_ComparedScore.py 8f9db599f9f467a3 |
unverified |
Apache-2.0 (permissive) |
| AFBench: A Large-scale Benchmark for Airfoil Design |
2024-06 (from id) |
hitcslj/Xfoil-cal/check_valid.py bf1b390abffb23a7 |
ran
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| AFBench: A Large-scale Benchmark for Airfoil Design |
2024-06 (from id) |
hitcslj/Xfoil-cal/check_valid_aero.py 111d2e64e145c96d |
unverified |
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| RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar |
22 May 2024 |
toytiny/radarocc/generate_3d_polar.py 58f05ca94a1f16ad |
ran
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Apache-2.0 (permissive) |
| RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar |
22 May 2024 |
toytiny/radarocc/generate_4d_polar.py cccc647437ae78d0 |
ran
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Apache-2.0 (permissive) |
| RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar |
22 May 2024 |
Toytiny/RadarOcc/generate_4d_polar_doppler.py 7ca7350ddb4ca251 |
unverified |
Apache-2.0 (permissive) |
| RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar |
22 May 2024 |
toytiny/radarocc/generate_4d_polar_doppler.py bca17c9a1a27be2b |
unverified |
Apache-2.0 (permissive) |
| RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar |
22 May 2024 |
toytiny/radarocc/generate_4d_polar_percentil.py c69c41474090b153 |
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Apache-2.0 (permissive) |
| Relational DNN Verification With Cross Executional Bound Refinement |
16 May 2024 |
debangshu-banerjee/racoon/racoon_processor.py ad46388f7e27e4bf |
ran
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| Relational DNN Verification With Cross Executional Bound Refinement |
16 May 2024 |
debangshu-banerjee/racoon/racoon_processor_hamming.py 4496a4aaefebb050 |
ran
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| Relational DNN Verification With Cross Executional Bound Refinement |
16 May 2024 |
debangshu-banerjee/racoon/bound_refinement_processor.py 49d5a240375f2f85 |
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| Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias |
9 May 2024 |
shan23chen/cross-care/co_occurrence_generate/jsonl_data_filtering.py 293bc1ef76e375ef |
ran
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MIT (permissive) |
| Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias |
9 May 2024 |
shan23chen/cross-care/co_occurrence_generate/jsonl_data_filtering_c4.py fe4d91f2f027fe4e |
ran
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MIT (permissive) |
| Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery |
12 Mar 2024 |
haiyangzheng/textgcd/utils/text_process.py f8466b7c87d6147d |
ran
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| Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A |
20 Feb 2024 |
bplaut/softmax-probs-predict-llm-correctness/show_msp_distributions.py 0c29fde88ebbe1cd |
ran
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MIT (permissive) |
| PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling |
19 Feb 2024 |
hphong1990/parcv2/PARC/utils.py 47d67295b295834e |
unverified |
GPL-3.0 (copyleft) · pointer only |
| Mission: Impossible Language Models |
12 Jan 2024 |
jkallini/mission-impossible-language-models/edge_probing/load_phrase_data.py 2dfc460bf3c3be3c |
ran
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MIT (permissive) |
| A Closer Look at AUROC and AUPRC under Class Imbalance |
11 Jan 2024 |
Lassehhansen/ArxivMLClaimSearch/src/arxiv_search.py c4d0403439e31706 |
ran
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MIT (permissive) |
| A Closer Look at AUROC and AUPRC under Class Imbalance |
11 Jan 2024 |
Lassehhansen/ArxivMLClaimSearch/src/arxiv_search_regex.py 1ba401f99899baa4 |
ran
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MIT (permissive) |
| A Closer Look at AUROC and AUPRC under Class Imbalance |
11 Jan 2024 |
lassehhansen/arxiv-search/src/arxiv_search.py 66ad8fb02e5834bf |
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| A Closer Look at AUROC and AUPRC under Class Imbalance |
11 Jan 2024 |
lassehhansen/arxiv-search/src/arxiv_search_regex.py 5e0a79f969743a5f |
ran
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| Optimized Tokenization for Transcribed Error Correction |
16 Oct 2023 |
google/sentencepiece/lite/amalgamate.py ba2d61e10485367a |
ran
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Apache-2.0 (permissive) |
| Few-shot In-context Learning for Knowledge Base Question Answering |
2 May 2023 |
ltl3A87/KB-BINDER/utils.py 767c14bec8de2d7b |
unverified |
MIT (permissive) |
| Neural Structure Fields with Application to Crystal Structure Autoencoders |
8 Dec 2022 |
omron-sinicx/neural-structure-field/src/dataset_generation/02_extract_structures.py 47e6d373a8ee71e9 |
unverified |
MIT (permissive) |
| Improving Factual Consistency in Summarization with Compression-Based Post-Editing |
11 Nov 2022 |
salesforce/CompEdit/entity_score.py ad8f0274bbfb39b6 |
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BSD-3-Clause (permissive) |
| IDANI: Inference-time Domain Adaptation via Neuron-level Interventions |
1 Jun 2022 |
technion-cs-nlp/idani/code/analysis.py 9d3248b9abfd2262 |
unverified |
MIT (permissive) |
| Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm |
21 Oct 2020 |
rhoposit/icassp2021/preprocess_vqvae.py e5f6756a2fd822c7 |
unverified |
MIT (permissive) |
| Adversarial Examples for Models of Code |
15 Oct 2019 |
tech-srl/code2seq/preprocess.py 8de0a4310800437e |
unverified |
MIT (permissive) |
| Neural Summarization by Extracting Sentences and Words |
23 Mar 2016 |
adrian9631/TextSumma/predict_model.py a58c910689a3db8c |
unverified |
Apache-2.0 (permissive) |
| arXiv:2023.findings-acl.76 |
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HKUST-KnowComp/FolkScope/src/pattern/generation_parser.py b87934889baa1464 |
unverified |
MIT (permissive) |