Computational Linguistics

Solving Quantitative Reasoning Problems with Language Models

<h2 class="text-2xl font-bold mb-4">Summary</h2> This research paper, published by Google in January 2022, focuses on solving quantitative reasoning problems using Language Models (LMs). The paper li...

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

<h2 class="text-2xl font-bold mb-4">Summary</h2> This paper, from Google, introduces and analyzes the BIG-bench benchmark, a large-scale, diverse suite of tasks designed to evaluate the capabilities ...

GLM-130B: An Open Bilingual Pre-trained Model

<h2 class="text-2xl font-bold mb-4">Summary</h2> This research paper introduces GLM-130B, an open-source bilingual pre-trained language model. The model is developed by Tsinghua University and likely...

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

<h2 class="text-2xl font-bold mb-4">Summary</h2> This paper introduces BLOOM, a 176-billion parameter, open-access, multilingual language model. Developed by the BigScience research workshop, BLOOM r...

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

<h2 class="text-2xl font-bold mb-4">Summary</h2> This paper introduces the Tree of Thoughts (ToT) framework, a novel approach to enhance the problem-solving capabilities of Large Language Models (LLM...