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Found 7 papers, 4 papers with code
Large-Scale Quantitative Evaluation of Dialogue Agents’ Response Strategies against Offensive Users
As voice assistants and dialogue agents grow in popularity, so does the abuse they receive.
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
Natural Language Processing (NLP) systems are increasingly taking the form of sophisticated modular pipelines, e. g., Retrieval Augmented Generation (RAG), where each module may involve a distinct Language Model (LM) and an associated prompt template.
Building Efficient and Effective OpenQA Systems for Low-Resource Languages
Our results show that SQuAD-TR makes OpenQA feasible for Turkish, which we hope encourages researchers to build OpenQA systems in other low-resource languages.
Ecosystem Graphs: The Social Footprint of Foundation Models
Foundation models (e. g. ChatGPT, StableDiffusion) pervasively influence society, warranting immediate social attention.
Holistic Evaluation of Language Models
We present Holistic Evaluation of Language Models (HELM) to improve the transparency of language models.
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent
We present Chirpy Cardinal, an open-domain social chatbot.
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
At the end of the competition, Chirpy Cardinal progressed to the finals with an average rating of 3. 6/5. 0, a median conversation duration of 2 minutes 16 seconds, and a 90th percentile duration of over 12 minutes.
