Retrieving and reading: A comprehensive survey on open-domain question answering
Open-domain Question Answering (OpenQA) is an important task in Natural Language
Processing (NLP), which aims to answer a question in the form of natural language based …
Processing (NLP), which aims to answer a question in the form of natural language based …
Information retrieval: recent advances and beyond
KA Hambarde, H Proenca - IEEE Access, 2023 - ieeexplore.ieee.org
This paper provides an extensive and thorough overview of the models and techniques
utilized in the first and second stages of the typical information retrieval processing chain …
utilized in the first and second stages of the typical information retrieval processing chain …
Generate rather than retrieve: Large language models are strong context generators
Knowledge-intensive tasks, such as open-domain question answering (QA), require access
to a large amount of world or domain knowledge. A common approach for knowledge …
to a large amount of world or domain knowledge. A common approach for knowledge …
Demonstrate-search-predict: Composing retrieval and language models for knowledge-intensive nlp
Retrieval-augmented in-context learning has emerged as a powerful approach for
addressing knowledge-intensive tasks using frozen language models (LM) and retrieval …
addressing knowledge-intensive tasks using frozen language models (LM) and retrieval …
Colbertv2: Effective and efficient retrieval via lightweight late interaction
Neural information retrieval (IR) has greatly advanced search and other knowledge-
intensive language tasks. While many neural IR methods encode queries and documents …
intensive language tasks. While many neural IR methods encode queries and documents …
Retrieval augmentation reduces hallucination in conversation
Despite showing increasingly human-like conversational abilities, state-of-the-art dialogue
models often suffer from factual incorrectness and hallucination of knowledge (Roller et al …
models often suffer from factual incorrectness and hallucination of knowledge (Roller et al …
X-clip: End-to-end multi-grained contrastive learning for video-text retrieval
Video-text retrieval has been a crucial and fundamental task in multi-modal research. The
development of video-text retrieval has been considerably promoted by large-scale multi …
development of video-text retrieval has been considerably promoted by large-scale multi …
Conversational information seeking
Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …
between one or more users and an information system. Interactions in CIS are primarily …
Evaluating open-domain question answering in the era of large language models
Lexical matching remains the de facto evaluation method for open-domain question
answering (QA). Unfortunately, lexical matching fails completely when a plausible candidate …
answering (QA). Unfortunately, lexical matching fails completely when a plausible candidate …
Landmark attention: Random-access infinite context length for transformers
A Mohtashami, M Jaggi - arXiv preprint arXiv:2305.16300, 2023 - arxiv.org
While Transformers have shown remarkable success in natural language processing, their
attention mechanism's large memory requirements have limited their ability to handle longer …
attention mechanism's large memory requirements have limited their ability to handle longer …