| RAGuard: A Layered Defense Framework for Retrieval-Augmented Generation Systems Against Data Poisoning added by Syntology |
2026-07 (from id) |
RAGuard-AI/RAGuard/defences/scorer.py c31fa0dc73b0f2e6 |
ran
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MIT (permissive) |
| AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs added by Syntology |
2026-04 (from id) |
megagonlabs/AutoPyVerifier/src/autopyverifier/search.py 9a5c2eab3c6aee32 |
ran
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BSD-3-Clause (permissive) |
| Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization added by Syntology |
2026-02 (from id) |
OPTML-Group/ZO-Muon/llm/metrics.py b989d4bce26f77ce |
unverified |
MIT (permissive) |
| A Dynamic Framework for Grid Adaptation in Kolmogorov-Arnold Networks added by Syntology |
2026-01 (from id) |
srigas/kan_grid/benchmarks/custom_funcs.py 92442691ba7feffb |
unverified |
MIT (permissive) |
| A Dynamic Framework for Grid Adaptation in Kolmogorov-Arnold Networks added by Syntology |
2026-01 (from id) |
srigas/kan_grid/benchmarks/feynman.py ef974f15b06dab67 |
unverified |
MIT (permissive) |
| arXiv:2507.12075 |
2025-07 (from id) |
sapienzanlp/bookcoref/src/metrics.py 5dc251a1bb16c94f |
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| Fine-tuning Quantized Neural Networks with Zeroth-order Optimization |
19 May 2025 |
maifoundations/qzo/large_language_models/metrics.py b989d4bce26f77ce |
unverified |
MIT (permissive) |
| Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$ |
17 Oct 2024 |
mattsheng/PAN_SR/experiment/evaluate_model.py 78fbb3b513d540ed |
ran
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| Zeroth-Order Fine-Tuning of LLMs in Random Subspaces |
11 Oct 2024 |
zimingyy/subzero/large_models/metrics.py b989d4bce26f77ce |
unverified |
GPL-3.0 (copyleft) · pointer only |
| Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models |
7 Oct 2024 |
m3hrdadfi/rag-memory-interplay/src/atlas/evaluation.py 5e2f0b798a3d70d2 |
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| Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends |
31 Jul 2024 |
SapienzaNLP/maverick-coref/maverick/common/metrics.py 5dc251a1bb16c94f |
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| Learning Retrieval Augmentation for Personalized Dialogue Generation |
27 Jun 2024 |
hqsiswiliam/lapdog/src/evaluation.py 5e2f0b798a3d70d2 |
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| Selective Prompting Tuning for Personalized Conversations with LLMs |
26 Jun 2024 |
hqsiswiliam/SPT/evaluation.py 5e2f0b798a3d70d2 |
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| Pretrained Optimization Model for Zero-Shot Black Box Optimization |
6 May 2024 |
ninja-wm/pom/BBOB_pkg/BBOB/bbobfunctions.py 01d23dbb9edf690f |
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| Ranked List Truncation for Large Language Model-based Re-Ranking |
28 Apr 2024 |
chuanmeng/rlt4reranking/rlt/retrieval_labels.py 95df88355bf0a4a5 |
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| Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark |
18 Feb 2024 |
zo-bench/zo-llm/zo-bench/metrics.py b989d4bce26f77ce |
unverified |
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| LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models |
18 Feb 2024 |
yifanycc/loretta/bert_model/metrics.py b989d4bce26f77ce |
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| ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change |
17 Jan 2024 |
eci-io/climategpt-evaluation/tasks/exeter/utils.py 9ca40505158717f6 |
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| ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change |
17 Jan 2024 |
eci-io/climategpt-evaluation/tasks/pira_mcq/utils.py 1eb73c7c88a4339a |
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| ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change |
17 Jan 2024 |
eci-io/climategpt-evaluation/tasks/climabench/clima_text/utils.py 6ca45f4106331bb0 |
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| ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-order Optimization |
23 Dec 2023 |
mathisall/zo-adamu/metrics.py b989d4bce26f77ce |
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| Tell2Design: A Dataset for Language-Guided Floor Plan Generation |
27 Nov 2023 |
lengsicong/tell2design/T5/coreference_metrics.py 5dc251a1bb16c94f |
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| Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning |
7 Nov 2023 |
psunlpgroup/fish-dip/augment/coreference_metrics.py 5dc251a1bb16c94f |
unverified |
Apache-2.0 (permissive) |
| Seq2seq is All You Need for Coreference Resolution |
20 Oct 2023 |
WenzhengZhang/Seq2seqCoref/metrics.py 5dc251a1bb16c94f |
unverified |
MIT (permissive) |
| Knowledge-Augmented Language Model Verification |
19 Oct 2023 |
JinheonBaek/KALMV/models/verifiers.py d8906dbc7552ff58 |
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| Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification |
16 Oct 2023 |
andreasgrv/sigmoid-bottleneck/spmlbl/metrics.py 77bf2eea0dac3863 |
ran
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MIT (permissive) |
| DPZero: Private Fine-Tuning of Language Models without Backpropagation |
14 Oct 2023 |
Liang137/DPZero/opt/src/metrics.py b989d4bce26f77ce |
unverified |
MIT (permissive) |
| Tool-Augmented Reward Modeling |
2 Oct 2023 |
ernie-research/Tool-Augmented-Reward-Model/src/utils/metrics.py d67b636c4fd9e6cb |
ran
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MIT (permissive) |
| RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models |
15 Aug 2023 |
jeffhj/raven/src/evaluation.py 5e2f0b798a3d70d2 |
ran
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| KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation |
4 Jul 2023 |
yumeng5/WeSTClass/model.py 02b9090cc2f7dd5e |
unverified |
Apache-2.0 (permissive) |
| Fine-Tuning Language Models with Just Forward Passes |
27 May 2023 |
princeton-nlp/mezo/large_models/metrics.py b989d4bce26f77ce |
unverified |
MIT (permissive) |
| Revisiting Grammatical Error Correction Evaluation and Beyond |
3 Nov 2022 |
pygongnlp/PT-M2/metrics.py b8394bc429303913 |
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| LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution |
25 May 2022 |
shon-otmazgin/fastcoref/fastcoref/utilities/metrics.py 5dc251a1bb16c94f |
unverified |
MIT (permissive) |
| DeepStruct: Pretraining of Language Models for Structure Prediction |
21 May 2022 |
cgraywang/deepstruct/src/dataset_processing/coreference_metrics.py 5dc251a1bb16c94f |
unverified |
Apache-2.0 (permissive) |
| Incorporating Constituent Syntax for Coreference Resolution |
22 Feb 2022 |
mandarjoshi90/coref/metrics.py 5dc251a1bb16c94f |
unverified |
Apache-2.0 (permissive) |
| Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs |
9 Dec 2021 |
luchang-cs/chet/metrics.py a3c98d8caff0f225 |
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| Document-level Entity-based Extraction as Template Generation |
10 Sep 2021 |
PlusLabNLP/TempGen/ree_eval.py 5dc251a1bb16c94f |
unverified |
MIT (permissive) |
| Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning |
19 Aug 2021 |
cuis15/FCFL/FUEL/synthetic/utils.py 63aab5e7619728e3 |
unverified |
MIT (permissive) |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features |
10 Jun 2021 |
tomcdonald/deep-lfm/toy_demo.py b759091d010c7bac |
unverified |
Apache-2.0 (permissive) |
| SciFive: a text-to-text transformer model for biomedical literature |
28 May 2021 |
justinphan3110/SciFive/biot5x/src/metrics.py 12ff36b88687dd69 |
unverified |
MIT (permissive) |
| BERTology Meets Biology: Interpreting Attention in Protein Language Models |
26 Jun 2020 |
salesforce/provis/protein_attention/probing/metrics.py 218b4d111a904876 |
ran · fixture could not drive it
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| CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT |
20 Apr 2020 |
wjhou/icon/src_retrieval/retrieval.py 6d01795fce054855 |
unverified |
Apache-2.0 (permissive) |
| BPE-Dropout: Simple and Effective Subword Regularization |
29 Oct 2019 |
PatxiofromAlphensign/subword-nmt-mods/subword_nmt/chrF.py 9b27e34636c16aac |
unverified |
MIT (permissive) |
| Q8BERT: Quantized 8Bit BERT |
14 Oct 2019 |
NervanaSystems/nlp-architect/nlp_architect/models/np_semantic_segmentation.py 6a2e2df3980634be |
unverified |
Apache-2.0 (permissive) |
| Meta-Learning with Implicit Gradients |
10 Sep 2019 |
spiglerg/pyMeta/pyMeta/metalearners/implicit_maml.py 878503c8b4732592 |
ran · honoured contract
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| SpanBERT: Improving Pre-training by Representing and Predicting Spans |
24 Jul 2019 |
amore-upf/masked-coreference/metrics.py 5dc251a1bb16c94f |
unverified |
Apache-2.0 (permissive) |
| Attributed Graph Clustering: A Deep Attentional Embedding Approach |
15 Jun 2019 |
GraphEoM/GSCAN/gscan/evaluation.py 681f6a5cb5d508f9 |
unverified |
MIT (permissive) |
| Fine-Grained Entity Typing in Hyperbolic Space |
6 Jun 2019 |
nlpAThits/figet-hyperbolic-space/figet/evaluate.py b9f6dc91f68b705d |
unverified |
MIT (permissive) |
| Revisiting Graph Neural Networks: All We Have is Low-Pass Filters |
23 May 2019 |
gear/gfnn/metrics.py cc1fd8ffd02dab36 |
unverified |
MIT (permissive) |
| Simplifying Graph Convolutional Networks |
19 Feb 2019 |
Tiiiger/SGC/metrics.py cc1fd8ffd02dab36 |
unverified |
MIT (permissive) |
| Agnostic Federated Learning |
1 Feb 2019 |
fairfl/FUEL/FUEL/synthetic/utils.py 63aab5e7619728e3 |
unverified |
MIT (permissive) |
| A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling |
2018-10 (from id) |
MaigoAkisame/cmu-thesis/code/audioset/util_f1.py 12e77c4861731d4f |
unverified |
MIT (permissive) |
| BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
11 Oct 2018 |
ilhamfp/indonesian-text-classification-multilingual/src/model-full.py bee3340c9aa9a937 |
ran · honoured contract
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| BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
11 Oct 2018 |
haydlite/sparse-bert-ner/old_version/tf_metrics.py 68aa9e92f48080b5 |
unverified |
MIT (permissive) |
| Continuous-variable quantum neural networks |
18 Jun 2018 |
XanaduAI/quantum-neural-networks/function_fitting/function_fitting.py b0a15e13b70f03ba |
ran · violated contract
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Apache-2.0 (permissive) |
| Higher-order Coreference Resolution with Coarse-to-fine Inference |
15 Apr 2018 |
kentonl/e2e-coref/metrics.py 5dc251a1bb16c94f |
unverified |
Apache-2.0 (permissive) |
| PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method |
2018-03 (from id) |
SeisNN/SeisNN/seisblue/model/EqT_utils.py 9bf3507fe4dfd4d7 |
unverified |
MIT (permissive) |
| Content-Based Citation Recommendation |
22 Feb 2018 |
allenai/citeomatic/citeomatic/eval_metrics.py 9bffd8f716f06256 |
unverified |
Apache-2.0 (permissive) |
| arXiv:2025.emnlp-main.292 |
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RUC-NLPIR/OmniEval/utils/evaluation.py 5e2f0b798a3d70d2 |
ran
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MIT (permissive) |
| arXiv:2024.acl-srw.56 |
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psuwannapich/z-coref/utilities/metrics.py 5dc251a1bb16c94f |
unverified |
Apache-2.0 (permissive) |
| arXiv:2021.naacl-main.125 |
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Fantabulous-J/coref-HGAT/metrics.py 5dc251a1bb16c94f |
unverified |
Apache-2.0 (permissive) |