A survey of deep learning for mathematical reasoning
Mathematical reasoning is a fundamental aspect of human intelligence and is applicable in
various fields, including science, engineering, finance, and everyday life. The development …
various fields, including science, engineering, finance, and everyday life. The development …
Mquake: Assessing knowledge editing in language models via multi-hop questions
The information stored in large language models (LLMs) falls out of date quickly, and
retraining from scratch is often not an option. This has recently given rise to a range of …
retraining from scratch is often not an option. This has recently given rise to a range of …
Knowledge conflicts for llms: A survey
This survey provides an in-depth analysis of knowledge conflicts for large language models
(LLMs), highlighting the complex challenges they encounter when blending contextual and …
(LLMs), highlighting the complex challenges they encounter when blending contextual and …
Interactive natural language processing
Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …
Consistency analysis of chatgpt
ME Jang, T Lukasiewicz - arXiv preprint arXiv:2303.06273, 2023 - arxiv.org
ChatGPT has gained a huge popularity since its introduction. Its positive aspects have been
reported through many media platforms, and some analyses even showed that ChatGPT …
reported through many media platforms, and some analyses even showed that ChatGPT …
Conformal language modeling
We propose a novel approach to conformal prediction for generative language models
(LMs). Standard conformal prediction produces prediction sets--in place of single predictions …
(LMs). Standard conformal prediction produces prediction sets--in place of single predictions …
Internal consistency and self-feedback in large language models: A survey
Large language models (LLMs) often exhibit deficient reasoning or generate hallucinations.
To address these, studies prefixed with" Self-" such as Self-Consistency, Self-Improve, and …
To address these, studies prefixed with" Self-" such as Self-Consistency, Self-Improve, and …
Cross-lingual consistency of factual knowledge in multilingual language models
Multilingual large-scale Pretrained Language Models (PLMs) have been shown to store
considerable amounts of factual knowledge, but large variations are observed across …
considerable amounts of factual knowledge, but large variations are observed across …
Human-like few-shot learning via bayesian reasoning over natural language
K Ellis - Advances in Neural Information Processing …, 2023 - proceedings.neurips.cc
A core tension in models of concept learning is that the model must carefully balance the
tractability of inference against the expressivity of the hypothesis class. Humans, however …
tractability of inference against the expressivity of the hypothesis class. Humans, however …
Benchmarking and improving generator-validator consistency of language models
As of September 2023, ChatGPT correctly answers" what is 7+ 8" with 15, but when asked"
7+ 8= 15, True or False" it responds with" False". This inconsistency between generating …
7+ 8= 15, True or False" it responds with" False". This inconsistency between generating …