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Hi, I am Gordon Lee.
Sorry to bother you with this issue.
Thanks for your excellent work on sematic-retrieval models.
Recently, MLNLP and I have made a search tool to collect top-tier conference up-to-date papers, which includes most top-tier conferences and journals from 2019-2022.
Unlike to dblp or google scholar, it only includes top-tier conferences and journals. So you can find the most related and valuable papers more effectively. I believe this tool can help you to find more retrieval-related papers more efficiently. Welcome to use!
You can access it via the following link: https://ai-paper-collector.vercel.app/
and you can find more details from our repo: https://github.com/MLNLP-World/AI-Paper-collector
Such as: The search category is as follows:
It also supports searching papers with specific years or/and specific authors, such as: The results also can be exported to CSV/TXT/JSON files. You need only a few edits to add to your README.md.
For example:
[ACL2022] Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval
[ACL2022] Retrieval-guided Counterfactual Generation for QA
[ACL2022] Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
[ACL2022] Image Retrieval from Contextual Descriptions
[ACL2022] Cross-Lingual Phrase Retrieval
[ACL2022] Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering
[ACL2022] Multi-View Document Representation Learning for Open-Domain Dense Retrieval
[ACL2022] ReACC: A Retrieval-Augmented Code Completion Framework
[ACL2022] A Statutory Article Retrieval Dataset in French
[ACL2022] Clickbait Spoiling via Question Answering and Passage Retrieval
[ACL2022] Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering
[ACL2022] Generating Biographies on Wikipedia: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies
[ACL2022] Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation
[ACL2022] Scene-Text Aware Image and Text Retrieval with Dual-Encoder
[ACL2022] Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation
[ACL2022] Two-Step Question Retrieval for Open-Domain QA
[ACL2022] TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval
[ACL2022] OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval
[ACL2022] The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through
[ACL2022] LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
[ACL2022] Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking
[ACL2022] Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
[COLING2022] Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation
[COLING2022] Addressing Leakage in Self-Supervised Contextualized Code Retrieval
[COLING2022] CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval
[COLING2022] Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning
[COLING2022] Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval
[COLING2022] Dense Template Retrieval for Customer Support
[COLING2022] MuSeCLIR: A Multiple Senses and Cross-lingual Information Retrieval Dataset
[COLING2022] Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document Retrieval
[COLING2022] DPTDR: Deep Prompt Tuning for Dense Passage Retrieval
[COLING2022] Repo4QA: Answering Coding Questions via Dense Retrieval on GitHub Repositories
[COLING2022] Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach
[COLING2022] DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like Documents
[COLING2022] Diverse Multi-Answer Retrieval with Determinantal Point Processes
[COLING2022] SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER
[COLING2022] CitRet: A Hybrid Model for Cited Text Span Retrieval
[COLING2022] Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing
[COLING2022] Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation
...
The text was updated successfully, but these errors were encountered:
Hi, I am Gordon Lee.
Sorry to bother you with this issue.
Thanks for your excellent work on sematic-retrieval models.
Recently, MLNLP and I have made a search tool to collect top-tier conference up-to-date papers, which includes most top-tier conferences and journals from 2019-2022.
Unlike to dblp or google scholar, it only includes top-tier conferences and journals. So you can find the most related and valuable papers more effectively.
I believe this tool can help you to find more retrieval-related papers more efficiently. Welcome to use!
You can access it via the following link:
https://ai-paper-collector.vercel.app/
and you can find more details from our repo:
https://github.com/MLNLP-World/AI-Paper-collector
Such as:
The search category is as follows:
It also supports searching papers with specific years or/and specific authors, such as:
The results also can be exported to CSV/TXT/JSON files. You need only a few edits to add to your README.md.
For example:
The text was updated successfully, but these errors were encountered: