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The Third Workhop on Safety for Conversational AI (Safety4ConvAI)
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PROGRAM
| Grounding LLMs to In-prompt Instructions: Reducing Hallucinations Caused by Static Pre-training Knowledge Angus Addlesee | |
| Diversity-Aware Annotation for Conversational AI Safety Alicia Parrish, Vinodkumar Prabhakaran, Lora Aroyo, Mark Díaz, Christopher M. Homan, Greg Serapio-García, Alex S. Taylor and Ding Wang | |
| Using Information Retrieval Techniques to Automatically Repurpose Existing Dialogue Datasets for Safe Chatbot Development Tunde Oluwaseyi Ajayi, Gaurav Negi, Mihael Arcan and Paul Buitelaar | |
| FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations Jane Dwivedi-Yu | |
| Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks Georgios Pantazopoulos, Amit Parekh, Malvina Nikandrou and Alessandro Suglia |