LLMS

LLMZip: Lossless Text Compression Using Large Language Models

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08 June 2023 5h11

LLMZip: Lossless Text Compression using Large Language Models paper page: https://
huggingface.co/papers/2306.04
050
… provide new estimates of an asymptotic upper bound on the entropy of English using the large language model LLaMA-7B as a predictor for the next token given a window of past

Reliability of Watermarks for Large Language Models

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08 June 2023 3h55

On the Reliability of Watermarks for Large Language Models paper page: https://
huggingface.co/papers/2306.04
634
… Large language models (LLMs) are now deployed to everyday use and positioned to produce large quantities of text in the coming decade. Machine-generated text may displace

PromptBench: Evaluating LLM Robustness Against Adversarial Prompts

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08 June 2023 3h45

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts paper page: https://
huggingface.co/papers/2306.04
528
… The increasing reliance on Large Language Models (LLMs) across academia and industry necessitates a comprehensive understanding of their robustness

Youku-mPLUG: 10M Chinese Video-Language Dataset for Pre-training

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08 June 2023 3h41

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks paper page: https://
huggingface.co/papers/2306.04
362
… To promote the development of Vision-Language Pre-training (VLP) and multimodal Large Language Model (LLM) in the Chinese community, we

Generating Diverse Text Data with LLMs and Human Input

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08 June 2023 3h29

Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions paper page: https://
huggingface.co/papers/2306.04
140
… Large language models (LLMs) can be used to generate text data for training and evaluating other models. However,

Certified Reasoning with Language Models for Sound Step-by-Step Reasoning

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08 June 2023 3h24

Certified Reasoning with Language Models paper page: https://
huggingface.co/papers/2306.04
031
… Language models often achieve higher accuracy when reasoning step-by-step in complex tasks. However, their reasoning can be unsound, inconsistent, or rely on undesirable prior assumptions. To tackle

Multi-Hop Reasoning in Language Models via Soft Prompts

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08 June 2023 3h11

Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks paper page: https://
huggingface.co/papers/2306.04
009
… Despite readily memorizing world knowledge about entities, pre-trained language models (LMs) struggle to compose together two or more

M3IT: Large-Scale Multi-Modal Multilingual Instruction Tuning Dataset

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08 June 2023 2h47

M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning paper page: https://
huggingface.co/papers/2306.04
387
… Instruction tuning has significantly advanced large language models (LLMs) such as ChatGPT, enabling them to align with human instructions across diverse tasks.