(2023-01) How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection paper | project
(2023-01) Is ChatGPT A Good Translator? A Preliminary Study paper | code
:exclamation: They only randomly select 50 sentences for evaluation, since there is no available API.
(2023-01) Benchmarking Large Language Models for News Summarization paper
(2023-02) Is ChatGPT a General-Purpose Natural Language Processing Task Solver? paper
:exclamation: No large dataset evaluation, no few-shot in-context learning evaluation, due to lack of API.
(2023-02) ChatGPT: Jack of all trades, master of none paper
(2023-02) Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT paper
(2023-02) On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective paper
(2023-02) Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization paper
(2023-02) ChatGPT: potential, prospects, and limitations paper
(2023-03) How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. paper
(2023-03) ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks paper
(2023-03) Consistency Analysis of ChatGPT paper
(2023-03) Could a Large Language Model be Conscious? paper
(2023-03) Susceptibility to Influence of Large Language Models paper
(2023-03) A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models paper
(2023-03) Sparks of Artificial General Intelligence: Early experiments with GPT-4 paper
(2023-03) ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks paper
(2023-04) Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation paper
(2023-03) Is ChatGPT a Good NLG Evaluator? A Preliminary Study paper
(2023-04) Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study paper
(2023-04) Emergent and Predictable Memorization in Large Language Models paper
(2023-04) Why Does ChatGPT Fall Short in Answering Questions Faithfully? paper
(2023-04) Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness paper
(2023-04) Are Emergent Abilities of Large Language Models a Mirage? paper
(2023-10) Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators paper | code