https://github.com/zaaachary/csqa-kepr
공식 코드KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answering
Papers with Code 아카이브
Information Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 33
- 보존된 평가 기록
- 17
Information retrieval is the task of ranking a list of documents or search results in response to a query
<span style="color:grey; opacity: 0.6">( Image credit: sudhanshumittal )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zenquiorra/m3ls
공식 코드https://github.com/zetaalphavector/inpars
공식 코드InPars: Data Augmentation for Information Retrieval using Large Language Models
https://github.com/zhangjianzhang/chatgpt4reir_eval
공식 코드Empirical Evaluation of ChatGPT on Requirements Information Retrieval Under Zero-Shot Setting
https://github.com/zhaoyang02/ordinal-preference-optimization
공식 코드Ordinal Preference Optimization: Aligning Human Preferences via NDCG
https://github.com/zhengchen1999/bi-diffsr
공식 코드https://github.com/zhichao-aws/opensearch-sparse-model-tuning-sample
공식 코드Exploring $\ell_0$ Sparsification for Inference-free Sparse Retrievers
https://github.com/zhichaoxu-shufe/rankmamba
공식 코드RankMamba: Benchmarking Mamba's Document Ranking Performance in the Era of Transformers
https://github.com/zhitao-he/simucourt
공식 코드https://github.com/zhiweiuu/secs
공식 코드Quantifying consensus of rankings based on q-support patterns
https://github.com/zhixiongz/clip4cmr
공식 코드https://github.com/zhiyuanpeng/eer-flops
공식 코드Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers
https://github.com/zhqiu/ndcg-optimization
공식 코드Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
https://github.com/zhy5186612/GenAI-ResearchAssistant-ScienceSage
공식 코드Disrupt Your Research Using Generative AI Powered ScienceSage
https://github.com/zhy99426/DualRec
공식 코드Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks
https://github.com/zhzhengit/LinkNER
공식 코드LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty
https://github.com/zju-daily/must
공식 코드MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality
https://github.com/zjunlp/MKGformer
공식 코드Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
https://github.com/zmzhang2000/hybrank
공식 코드https://github.com/zomss/co-prompt
공식 코드Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker
https://github.com/zsffq999/SCDH
공식 코드https://github.com/zwh-sdu/excluir
공식 코드https://gitlab.com/OvGU-ESS/SelectScript
공식 코드Reasoning in complex environments with the SelectScript declarative language
https://gitlab.com/bigirqu/ArCOV-19
공식 코드ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks
https://gitlab.com/mcoavoux/statement_proof_matching
공식 코드https://gitlab.inria.fr/amarmore/musicntd
공식 코드Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals
https://gitlab.inria.fr/amarmore/nonnegative-factorization
공식 코드Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals
https://huggingface.co/aminhaeri/risk-embed
공식 코드Generative AI Enhanced Financial Risk Management Information Retrieval
https://huggingface.co/datasets/microsoft/kitab
공식 코드KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
https://huggingface.co/nguyenthanhasia/BERTLaw
공식 코드JNLP Team: Deep Learning for Legal Processing in COLIEE 2020
https://zenodo.org/record/11264676
공식 코드https://github.com/0xyd/sec2vec
An Information Retrieval Approach to Short Text Conversation
https://github.com/2023-MindSpore-1/ms-code-210/tree/main/CMT
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/CMT
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
https://github.com/360CVGroup/FancyVideo
FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance
https://github.com/AjayKhalsa/convai_smile
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.