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TuneShield: Mitigating Toxicity in Conversational AI while Fine-tuning on Untrusted Data
Recent advances in foundation models, such as LLMs, have revolutionized conversational AI. Chatbots are increasingly being developed by customizing LLMs on specific conversational datasets. However, mitigating toxicity d…
ChatbotInstruction FollowingSafety AlignmentGeneralized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
Transfer learning in Reinforcement Learning (RL) enables agents to leverage knowledge from source tasks to accelerate learning in target tasks. While prior work, such as the Attend, Adapt, and Transfer (A2T) framework, a…
Atari GamesChatbotComputational EfficiencyDeep Learning+6Exploring the Effects of Chatbot Anthropomorphism and Human Empathy on Human Prosocial Behavior Toward Chatbots
Chatbots are increasingly integrated into people's lives and are widely used to help people. Recently, there has also been growing interest in the reverse direction-humans help chatbots-due to a wide range of benefits in…
ChatbotMapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers
Family caregivers of individuals with Alzheimer's Disease and Related Dementia (AD/ADRD) face significant emotional and logistical challenges that place them at heightened risk for stress, anxiety, and depression. Althou…
ChatbotProfiLLM: An LLM-Based Framework for Implicit Profiling of Chatbot Users
Despite significant advancements in conversational AI, large language model (LLM)-powered chatbots often struggle with personalizing their responses according to individual user characteristics, such as technical experti…
ChatbotLarge Language ModelBuilding Trustworthy AI by Addressing its 16+2 Desiderata with Goal-Directed Commonsense Reasoning
Current advances in AI and its applicability have highlighted the need to ensure its trustworthiness for legal, ethical, and even commercial reasons. Sub-symbolic machine learning algorithms, such as the LLMs, simulate r…
ChatbotTransforming Chatbot Text: A Sequence-to-Sequence Approach
Due to advances in Large Language Models (LLMs) such as ChatGPT, the boundary between human-written text and AI-generated text has become blurred. Nevertheless, recent work has demonstrated that it is possible to reliabl…
ChatbotThe Safety Reminder: A Soft Prompt to Reactivate Delayed Safety Awareness in Vision-Language Models
As Vision-Language Models (VLMs) demonstrate increasing capabilities across real-world applications such as code generation and chatbot assistance, ensuring their safety has become paramount. Unlike traditional Large Lan…
ChatbotCode GenerationText GenerationUnderstanding Human-AI Trust in Education
As AI chatbots become increasingly integrated in education, students are turning to these systems for guidance, feedback, and information. However, the anthropomorphic characteristics of these chatbots create ambiguity r…
ChatbotEvaluating AI-Powered Learning Assistants in Engineering Higher Education: Student Engagement, Ethical Challenges, and Policy Implications
As generative AI tools become increasingly integrated into higher education, understanding how students interact with and perceive these technologies is essential for responsible and effective adoption. This study evalua…
Chatbot"We need to avail ourselves of GenAI to enhance knowledge distribution": Empowering Older Adults through GenAI Literacy
As generative AI (GenAI) becomes increasingly widespread, it is crucial to equip users, particularly vulnerable populations such as older adults (65 and older), with the knowledge to understand its benefits and potential…
ChatbotUrania: Differentially Private Insights into AI Use
We introduce $Urania$, a novel framework for generating insights about LLM chatbot interactions with rigorous differential privacy (DP) guarantees. The framework employs a private clustering mechanism and innovative keyw…
BenchmarkingChatbotClusteringKeyword ExtractionPrivacy and Security Threat for OpenAI GPTs
Large language models (LLMs) demonstrate powerful information handling capabilities and are widely integrated into chatbot applications. OpenAI provides a platform for developers to construct custom GPTs, extending ChatG…
ChatbotFrom Chat Logs to Collective Insights: Aggregative Question Answering
Conversational agents powered by large language models (LLMs) are rapidly becoming integral to our daily interactions, generating unprecedented amounts of conversational data. Such datasets offer a powerful lens into soc…
ChatbotQuestion AnsweringA Practical Approach for Building Production-Grade Conversational Agents with Workflow Graphs
The advancement of Large Language Models (LLMs) has led to significant improvements in various service domains, including search, recommendation, and chatbot applications. However, applying state-of-the-art (SOTA) resear…
ChatbotMEDAL: A Framework for Benchmarking LLMs as Multilingual Open-Domain Chatbots and Dialogue Evaluators
As the capabilities of chatbots and their underlying LLMs continue to dramatically improve, evaluating their performance has increasingly become a major blocker to their further development. A major challenge is the avai…
BenchmarkingChatbotDialogue EvaluationDesign and testing of an agent chatbot supporting decision making with public transport data
Assessing the quality of public transportation services requires the analysis of large quantities of data on the scheduled and actual trips and documents listing the quality constraints each service needs to meet. Interr…
ChatbotDecision MakingLarge Language ModelPosition: Uncertainty Quantification Needs Reassessment for Large-language Model Agents
Large-language models (LLMs) and chatbot agents are known to provide wrong outputs at times, and it was recently found that this can never be fully prevented. Hence, uncertainty quantification plays a crucial role, aimin…
ChatbotLanguage ModelingLanguage ModellingLarge Language Model+2Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives
State-of-the-art large language models require specialized hardware and substantial energy to operate. As a consequence, cloud-based services that provide access to large language models have become very popular. In thes…
ChatbotThe Impact of a Chatbot's Ephemerality-Framing on Self-Disclosure Perceptions
Self-disclosure, the sharing of one's thoughts and feelings, is affected by the perceived relationship between individuals. While chatbots are increasingly used for self-disclosure, the impact of a chatbot's framing on u…
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