paper-with-me

Chatbot

1개 벤치마크 · 논문 971편 · 이 태스크의 논문 보기 →

Benchmarks

AlpacaEval

결과 1개

Most implemented

Visual Dialog

2016-11-26 · 구현 11개

Papers

TuneShield: Mitigating Toxicity in Conversational AI while Fine-tuning on Untrusted Data

2025-07-08 · Aravind Cheruvu, Shravya Kanchi, Sifat Muhammad Abdullah, Nicholas Kong 외

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 Alignment

Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains

2025-07-02 · Abhishek Verma, Nallarasan V, Balaraman Ravindran

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+6

Exploring the Effects of Chatbot Anthropomorphism and Human Empathy on Human Prosocial Behavior Toward Chatbots

2025-06-25 · Jingshu Li, Zicheng Zhu, Renwen Zhang, Yi-chieh Lee

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…

Chatbot

Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers

2025-06-18 · Jiayue Melissa Shi, Dong Whi Yoo, Keran Wang, Violeta J. Rodriguez 외

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…

Chatbot

ProfiLLM: An LLM-Based Framework for Implicit Profiling of Chatbot Users

2025-06-16 · Shahaf David, Yair Meidan, Ido Hersko, Daniel Varnovitzky 외

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 Model

Building Trustworthy AI by Addressing its 16+2 Desiderata with Goal-Directed Commonsense Reasoning

2025-06-15 · Alexis R. Tudor, Yankai Zeng, Huaduo Wang, Joaquin Arias 외

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…

Chatbot

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