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In-context retrieval-augmented language models
Abstract Retrieval-Augmented Language Modeling (RALM) methods, which condition a
language model (LM) on relevant documents from a grounding corpus during generation …
language model (LM) on relevant documents from a grounding corpus during generation …
Parallel context windows for large language models
When applied to processing long text, Large Language Models (LLMs) are limited by their
context window. Existing efforts to address this limitation involve training specialized …
context window. Existing efforts to address this limitation involve training specialized …
[HTML][HTML] Evaluating LLMs on document-based QA: Exact answer selection and numerical extraction using CogTale dataset
Abstract Document-based Question-Answering (QA) tasks are crucial for precise information
retrieval. While some existing work focus on evaluating large language model's (LLMs) …
retrieval. While some existing work focus on evaluating large language model's (LLMs) …
Should we fine-tune or rag? evaluating different techniques to adapt llms for dialogue
We study the limitations of Large Language Models (LLMs) for the task of response
generation in human-machine dialogue. Several techniques have been proposed in the …
generation in human-machine dialogue. Several techniques have been proposed in the …
Improving zero-shot reader by reducing distractions from irrelevant documents in open-domain question answering
Large language models (LLMs) enable zero-shot approaches in open-domain question
answering (ODQA), yet with limited advancements as the reader is compared to the …
answering (ODQA), yet with limited advancements as the reader is compared to the …
Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering
Despite the advancements made with the retrieve-then-read pipeline on open-domain
question answering task, current methods still face challenges stemming from term …
question answering task, current methods still face challenges stemming from term …
Towards a small language model powered chain‐of‐reasoning for open‐domain question answering
J Roh, M Kim, K Bae - ETRI Journal, 2024 - Wiley Online Library
We focus on open‐domain question‐answering tasks that involve a chain‐of‐reasoning,
which are primarily implemented using large language models. With an emphasis on cost …
which are primarily implemented using large language models. With an emphasis on cost …
Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models
SI Park, JY Lee - Transactions of the Association for Computational …, 2024 - direct.mit.edu
Abstract Retrieval Augmented Language Models (RALMs) have gained significant attention
for their ability to generate accurate answers and improve efficiency. However, RALMs are …
for their ability to generate accurate answers and improve efficiency. However, RALMs are …