Large language models for information retrieval: A survey
As a primary means of information acquisition, information retrieval (IR) systems, such as
search engines, have integrated themselves into our daily lives. These systems also serve …
search engines, have integrated themselves into our daily lives. These systems also serve …
" According to...": Prompting Language Models Improves Quoting from Pre-Training Data
Large Language Models (LLMs) may hallucinate and generate fake information, despite pre-
training on factual data. Inspired by the journalistic device of" according to sources", we …
training on factual data. Inspired by the journalistic device of" according to sources", we …
Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?
Query expansion has been widely used to improve the search results of first-stage retrievers,
yet its influence on second-stage, cross-encoder rankers remains under-explored. A recent …
yet its influence on second-stage, cross-encoder rankers remains under-explored. A recent …
Genqrensemble: Zero-shot llm ensemble prompting for generative query reformulation
KD Dhole, E Agichtein - European Conference on Information Retrieval, 2024 - Springer
Query Reformulation (QR) is a set of techniques used to transform a user's original search
query to a text that better aligns with the user's intent and improves their search experience …
query to a text that better aligns with the user's intent and improves their search experience …
NevIR: negation in neural information retrieval
Negation is a common everyday phenomena and has been a consistent area of weakness
for language models (LMs). Although the Information Retrieval (IR) community has adopted …
for language models (LMs). Although the Information Retrieval (IR) community has adopted …
Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human in the Loop
Large Language Models have found application in various mundane and repetitive tasks
including Human Resource (HR) support. We worked with the domain experts of SAP SE to …
including Human Resource (HR) support. We worked with the domain experts of SAP SE to …
Enhancing Asymmetric Web Search through Question-Answer Generation and Ranking
D Ye, J Liu, J Fan, B Tian, T Zhou, X Chen… - Proceedings of the 30th …, 2024 - dl.acm.org
This paper addresses the challenge of the semantic gap between user queries and web
content, commonly referred to as asymmetric text matching, within the domain of web …
content, commonly referred to as asymmetric text matching, within the domain of web …
Corpus-Steered Query Expansion with Large Language Models
Recent studies demonstrate that query expansions generated by large language models
(LLMs) can considerably enhance information retrieval systems by generating hypothetical …
(LLMs) can considerably enhance information retrieval systems by generating hypothetical …
QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration
KD Dhole, S Bajaj, R Chandradevan… - arXiv preprint arXiv …, 2024 - arxiv.org
Formulating effective search queries remains a challenging task, particularly when users
lack expertise in a specific domain or are not proficient in the language of the content …
lack expertise in a specific domain or are not proficient in the language of the content …
Defending Against Misinformation Attacks in Open-Domain Question Answering
Recent work in open-domain question answering (ODQA) has shown that adversarial
poisoning of the search collection can cause large drops in accuracy for production systems …
poisoning of the search collection can cause large drops in accuracy for production systems …