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A Categorical Archive of ChatGPT Failures
6 February 2023
Ali Borji
ELM
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Papers citing
"A Categorical Archive of ChatGPT Failures"
50 / 160 papers shown
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Bryan Chen Zhengyu Tan
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Analysis of LLM Bias (Chinese Propaganda & Anti-US Sentiment) in DeepSeek-R1 vs. ChatGPT o3-mini-high
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02 Jun 2025
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies
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Sarfraz Ahmad
Hasan Iqbal
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Arham Riaz
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Preslav Nakov
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695
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21 May 2025
Reliable Collaborative Conversational Agent System Based on LLMs and Answer Set Programming
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Gopal Gupta
192
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Secure Coding with AI -- From Detection to Repair
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241
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Information Retrieval in the Age of Generative AI: The RGB Model
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
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Alessandro Cornacchia
Franco Galante
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A. Nordio
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Trusting CHATGPT: how minor tweaks in the prompts lead to major differences in sentiment classification
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Juan Guillermo Torres-Hurtado
256
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Increasing the Robustness of the Fine-tuned Multilingual Machine-Generated Text Detectors
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422
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Luca Capone
Gianluca E. Lebani
Alessandro Lenci
317
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12 Mar 2025
Can AI-Generated Text be Reliably Detected?
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S. Balasubramanian
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20 Jan 2025
Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Aneta Zugecova
Dominik Macko
Ivan Srba
Robert Moro
Jakub Kopal
Katarina Marcincinova
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467
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18 Dec 2024
Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
International Conference on Intelligent User Interfaces (IUI), 2024
Yingzhe Peng
Xiaoting Qin
Zhiyang Zhang
Jue Zhang
Qingwei Lin
Xu Yang
Dongmei Zhang
Saravan Rajmohan
Qi Zhang
197
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Stars, Stripes, and Silicon: Unravelling the ChatGPT's All-American, Monochrome, Cis-centric Bias
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309
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Constructive Apraxia: An Unexpected Limit of Instructible Vision-Language Models and Analog for Human Cognitive Disorders
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S. M. Noever
219
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17 Sep 2024
Promises and challenges of generative artificial intelligence for human learning
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Lixiang Yan
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505
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See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses
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233
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A Study on Bias Detection and Classification in Natural Language Processing
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225
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Interactive embodied evolution for socially adept Artificial General Creatures
Kevin Godin-Dubois
Olivier Weissl
Karine Miras
Anna V. Kononova
164
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31 Jul 2024
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Kangda Wei
Aayush Gautam
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571
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28 Jul 2024
Unipa-GPT: Large Language Models for university-oriented QA in Italian
Irene Siragusa
Roberto Pirrone
298
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19 Jul 2024
Auditing of AI: Legal, Ethical and Technical Approaches
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Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
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Zhihao Wen
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04 Jul 2024
Satyrn: A Platform for Analytics Augmented Generation
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Cameron Barrie
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A Complete Survey on LLM-based AI Chatbots
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Choong Seon Hong
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319
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GPT-ology, Computational Models, Silicon Sampling: How should we think about LLMs in Cognitive Science?
Desmond C. Ong
330
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A Reality check of the benefits of LLM in business
Ming Cheung
353
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09 Jun 2024
Reinterpreting 'the Company a Word Keeps': Towards Explainable and Ontologically Grounded Language Models
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140
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On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
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438
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SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
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Unlearning Climate Misinformation in Large Language Models
Michael Fore
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Antonios Anastasopoulos
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353
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29 May 2024
Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI Capabilities
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249
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OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
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Hasan Iqbal
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Preslav Nakov
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523
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09 May 2024
Attributions toward Artificial Agents in a modified Moral Turing Test
Scientific Reports (Sci Rep), 2024
Eyal Aharoni
Sharlene Fernandes
Daniel J Brady
Caelan Alexander
Michael Criner
Kara Queen
Javier Rando
Eddy Nahmias
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313
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03 Apr 2024
HILL: A Hallucination Identifier for Large Language Models
International Conference on Human Factors in Computing Systems (CHI), 2024
Florian Leiser
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Valentin Leuthe
Merlin Knaeble
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Gerhard Schwabe
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260
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Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts
Zewei Tian
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232
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Should We Fear Large Language Models? A Structural Analysis of the Human Reasoning System for Elucidating LLM Capabilities and Risks Through the Lens of Heidegger's Philosophy
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229
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RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots
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What Generative Artificial Intelligence Means for Terminological Definitions
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Exploring ChatGPT and its Impact on Society
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Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
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Why and When LLM-Based Assistants Can Go Wrong: Investigating the Effectiveness of Prompt-Based Interactions for Software Help-Seeking
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APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT
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ChatGPT in the classroom. Exploring its potential and limitations in a Functional Programming course
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