Co-occurring keywords · papers mentioning both
Papers
Grounding Language Model with Chunking-Free In-Context Retrieval
ACL 2024
HIL: Hybrid Isotropy Learning for Zero-shot Performance in Dense retrieval
NAACL 2024
Historical Parliamentary Corpora Viewer
COLING 2024
Hyper-QKSG: Framework for Automating Query Generation and Knowledge-Snippet Extraction from Tables and Lists
EMNLP 2024
HyQE: Ranking Contexts with Hypothetical Query Embeddings
EMNLP 2024
Identifying High Consideration E-Commerce Search Queries
EMNLP 2024
“Image, Tell me your story!” Predicting the original meta-context of visual misinformation
EMNLP 2024
Imitation of Life: A Search Engine for Biologically Inspired Design
AAAI 2024
Improve Dense Passage Retrieval with Entailment Tuning
EMNLP 2024
Improving Covert Toxicity Detection by Retrieving and Generating References
NAACL 2024
Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval
NAACL 2024
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals
EMNLP 2024
Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases
EMNLP 2024
IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages
ACL 2024
INDUS: Effective and Efficient Language Models for Scientific Applications
EMNLP 2024
InFact: A Strong Baseline for Automated Fact-Checking
EMNLP 2024
Interfacing Foundation Models' Embeddings
NeurIPS 2024
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
AAAI 2024
Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding
ACL 2024
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
ACL 2024
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
EMNLP 2024
Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval
ACL 2024
IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance
NAACL 2024
It is a Truth Individually Acknowledged: Cross-references On Demand
EMNLP 2024
It’s All Relative! – A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction
NAACL 2024