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 …
Sources of hallucination by large language models on inference tasks
Large Language Models (LLMs) are claimed to be capable of Natural Language Inference
(NLI), necessary for applied tasks like question answering and summarization. We present a …
(NLI), necessary for applied tasks like question answering and summarization. We present a …
A survey on knowledge distillation of large language models
This survey presents an in-depth exploration of knowledge distillation (KD) techniques
within the realm of Large Language Models (LLMs), spotlighting the pivotal role of KD in …
within the realm of Large Language Models (LLMs), spotlighting the pivotal role of KD in …
Llms may dominate information access: Neural retrievers are biased towards llm-generated texts
Recently, the emergence of large language models (LLMs) has revolutionized the paradigm
of information retrieval (IR) applications, especially in web search. With their remarkable …
of information retrieval (IR) applications, especially in web search. With their remarkable …
Snapntell: Enhancing entity-centric visual question answering with retrieval augmented multimodal llm
Vision-extended LLMs have made significant strides in Visual Question Answering (VQA).
Despite these advancements, VLLMs still encounter substantial difficulties in handling …
Despite these advancements, VLLMs still encounter substantial difficulties in handling …
Neural retrievers are biased towards llm-generated content
Recently, the emergence of large language models (LLMs) has revolutionized the paradigm
of information retrieval (IR) applications, especially in web search, by generating vast …
of information retrieval (IR) applications, especially in web search, by generating vast …
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
Large language models (LLMs) have demonstrated impressive capabilities in various
natural language processing tasks. Despite this, their application to information retrieval (IR) …
natural language processing tasks. Despite this, their application to information retrieval (IR) …
Steering Large Language Models for Cross-lingual Information Retrieval
In today's digital age, accessing information across language barriers poses a significant
challenge, with conventional search systems often struggling to interpret and retrieve …
challenge, with conventional search systems often struggling to interpret and retrieve …
Gar-meets-rag paradigm for zero-shot information retrieval
Given a query and a document corpus, the information retrieval (IR) task is to output a
ranked list of relevant documents. Combining large language models (LLMs) with …
ranked list of relevant documents. Combining large language models (LLMs) with …
Agent4ranking: Semantic robust ranking via personalized query rewriting using multi-agent llm
Search engines are crucial as they provide an efficient and easy way to access vast
amounts of information on the internet for diverse information needs. User queries, even with …
amounts of information on the internet for diverse information needs. User queries, even with …