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1,213 claims from 764 papers are on the record. 45 have been checked so far; the other 1,168 have no check with a result yet.

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Status: Unchecked ×Subfield: Information Systems ×Clear all

6 claims from 4 papers

1. Computer Science › Artificial Intelligence in Education

   ChatGPT for good? On opportunities and challenges of large language models for education

   Kasneci, Seßler, Küchemann et al. · Learning and Individual Differences · 2023

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   1. UncheckedThe authors believe that, if handled sensibly, the challenges of AI tools can help students learn early about AI's societal biases and risks.“But we believe that, if handled sensibly, these challenges can offer insights and opportunities in education scenarios to acquaint students early on with potential societal biases, criticalities, and risks of AI applications.”

2. Computer Science › Software Engineering Research

   A Direction-Aware Study of LLM-Based Code Translation Across Eight Programming Languages

   Chen, Tworek, Jun et al. · arXiv (Cornell University) · 2021

   The paper introduces Codex, a GPT model fine-tuned on public GitHub code, tests its Python code writing on a new benchmark, and discusses limitations and the wider impacts of code generation tools.

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   1. UncheckedOn the HumanEval set, the authors' Codex model solved 28.8% of programming problems, against 0% for GPT-3 and 11.4% for GPT-J.“On HumanEval, a new evaluation set we release to measure functional correctness for synthesizing programs from docstrings, our model solves 28.8% of the problems, while GPT-3 solves 0% and GPT-J solves 11.4%.”
   2. UncheckedSampling 100 solutions per problem from the Codex model produced a working solution for 70.2% of the authors' HumanEval problems.“Using this method, we solve 70.2% of our problems with 100 samples per problem.”
   3. UncheckedThe authors report that their Codex code model struggles with docstrings describing long chains of operations and with binding operations to variables.“Careful investigation of our model reveals its limitations, including difficulty with docstrings describing long chains of operations and with binding operations to variables.”

3. Computer Science › Recommender Systems and Techniques

   Uncovering ChatGPT’s Capabilities in Recommender Systems

   Dai, Shao, Zhao et al. · ACM Conference on Recommender Systems (RecSys) · 2023

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   1. Unchecked“Through extensive experiments on four datasets from different domains, we demonstrate that ChatGPT outperforms other large language models across all three ranking policies.”

4. Computer Science › Spam and Phishing Detection

   Prompting Large Language Models for Malicious Webpage Detection

   Li and Gong · IEEE International Conference on Pattern Recognition and Machine Learning (PRML) · 2023

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   1. Unchecked“Experimental results show that our proposed approach achieves comparable or even better performance than deep learning baselines.”