Pinned Repositories
code-rag-bench
CodeRAG-Bench: Can Retrieval Augment Code Generation?
AnchorDR
Code for the SIGIR'23 paper "Unsupervised Dense Retrieval Training with Web Anchors"
CMTrans
Code for "Data Augmentation for Code Translation with Comparable Corpora and Multiple References" (EMNLP'23)
CodeBenchGen
Code for "CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks"
DocLens
Code for "DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation" (ACL 2024)
ECE490Project
Eider
Source code for paper "EIDER: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion", ACL Findings, 2022
GATNE
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
google-10000-english
This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.
koMen
[WWW'22] KoMen: Domain Knowledge Guided InteractionRecommendation for Emerging Scenarios
yiqingxyq's Repositories
yiqingxyq/Eider
Source code for paper "EIDER: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion", ACL Findings, 2022
yiqingxyq/DocLens
Code for "DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation" (ACL 2024)
yiqingxyq/CodeBenchGen
Code for "CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks"
yiqingxyq/koMen
[WWW'22] KoMen: Domain Knowledge Guided InteractionRecommendation for Emerging Scenarios
yiqingxyq/AnchorDR
Code for the SIGIR'23 paper "Unsupervised Dense Retrieval Training with Web Anchors"
yiqingxyq/CMTrans
Code for "Data Augmentation for Code Translation with Comparable Corpora and Multiple References" (EMNLP'23)
yiqingxyq/ECE490Project
yiqingxyq/GATNE
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
yiqingxyq/google-10000-english
This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.
yiqingxyq/repoeval_debug
yiqingxyq/team16_11777
yiqingxyq/UROP_sentimentalAnalysis
yiqingxyq/yiqingxyq.github.io
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