Latest Articles for Responses

Examining how AI can generate supportive and empathic responses.

A new method shows language models can ask better questions for clearer responses.

A new framework enhances language models by recognizing and responding to different speech styles.

A new system enhances health coaching accessibility via automated dialogue.

Context plays a crucial role in assessing dialogue system performance.

Study reveals impact of stakes on biases in decision-making.

Research shows how GPT-4 can enhance feedback for new tutors.

This study examines how empathy functions in online conversations for better support.

Exploring the amygdala's role in processing emotions and responses.

LaserEscape offers real-time detection and response against optical probing threats.

This study highlights the challenges AI faces in reflecting human psychological traits.

This approach connects vaccine messaging with public beliefs to reduce hesitancy.

A new method improves chat interactions by simulating real-time dialogue.

A new method offers insights into the trustworthiness of LLM responses.

A new method enhances AI responses by learning from multiple feedback sources.

New strategies aim to create respectful dialogue in online conversations.

A method for generating quality training data for language model fine-tuning.

A structured approach to study revisions in academic writing.

A new training method enhances how language models express certainty in answers.

A new framework assesses language models on emotional intelligence and creativity.

Examining how individuals coordinate movements in various living organisms.

This paper investigates the False Consensus Effect in large language models.

A look into how neurons in the visual cortex respond to visual stimuli.

New methods improve Language Model responses to meet user preferences effectively.

GIEBench assesses LLMs' empathetic responses based on diverse group identities.

Research studies how brain changes affect touch responses in adults with autism.

A new method enhances LLM personalization for better user engagement.

Introducing a tool to enhance safety in language model interactions.

A multi-agent system aims to provide personalized mental health assistance online.

Local neuron connections influence how we respond to visual information.

PersuaBot proves effective in delivering persuasive and accurate information through innovative methods.

This study focuses on removing harmful trojans in large language models using filtering techniques.

Improving how models handle evidence in long documents builds user trust.

A project offering emotional support through audio responses for those in need.

A new method evaluates conclusions from incomplete datasets in various research fields.

New metric measures how language models reflect human knowledge distribution.

A fresh approach to assess persona agents using language models.

This article reviews how chunk size affects AI-generated answers.

RAGate improves conversational systems by selectively using external knowledge for better responses.

This article discusses recruiting teens for research through Peachjar and its challenges.