Chatbots News and Research

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A chatbot is a software application designed to simulate human conversation. It interacts with users through messaging platforms, websites, or mobile apps, using pre-set scripts or artificial intelligence technologies to understand queries and provide responses. Chatbots are often used for customer service, information retrieval, or as virtual assistants.

AI-Powered Clustering Makes Sense of Social Media Chaos With Human-Interpretable Results

Researchers developed a method using large language models (LLMs) to cluster short text data into human-interpretable groups, validated by both human reviewers and generative AI like ChatGPT, offering scalable solutions for analyzing social media and other short text datasets.

21 Jan 2025

AI Models Struggle to Master Expert-Level Historical Knowledge

Researchers benchmarked AI models using the Seshat Global History Databank and found significant gaps in their ability to understand and analyze expert-level historical knowledge.

21 Jan 2025

Open-Weight AI Models Outperform Rivals in Privacy-Safe Radiology Report Analysis

Open-weight large language models (LLMs) are as effective as closed-weight systems for structuring radiology reports while ensuring patient data privacy through local implementation.

14 Jan 2025

Can You Trust a Chatbot?

Researchers from the University of Basel reveal that trust in AI chatbots is shaped by integrity and competence, with personalization enhancing user engagement but not trust.

9 Jan 2025

The Next Wave of AI: Amazon Nova Merges Intelligence With Creativity

Amazon Nova revolutionizes foundation models with state-of-the-art generative AI capabilities, delivering unparalleled performance for multimodal tasks, document analysis, and creative content generation while prioritizing customization and ethical AI use.

10 Dec 2024

Cambridge Researchers Build AI "Bullshit" Detector

Researchers from Cambridge developed a method to detect "bullshit" in ChatGPT’s outputs, revealing striking parallels between AI-generated text and uninformative human discourse like political language and "bullshit jobs."

2 Dec 2024

AMD Unveils Open-Source 1B Language Model to Drive Innovation in AI

Researchers introduce AMD OLMo, an open-source language model with 1 billion parameters, trained using 1.3 trillion tokens on AMD GPUs to push the boundaries of AI, enabling improved reasoning, instruction-following, and ethical alignment in AI systems.

10 Nov 2024

AI Watermarking Breakthrough Makes Synthetic Text Detection Faster and More Accurate

A new watermarking method, SynthID-Text, enables clear identification of AI-generated text while preserving quality and efficiency.

27 Oct 2024

G7 Toolkit Empowers Governments to Deploy Ethical and Transparent AI

The G7 Toolkit for Artificial Intelligence in the Public Sector outlines strategies for ethical, secure, and effective AI deployment in governments, emphasizing human rights and transparency. It includes case studies and best practices to guide responsible AI adoption globally.

17 Oct 2024

AI Models Generate Over A Million Material Narratives To Improve Discovery Of New Materials

Researchers created 1.5 million AI-generated material narratives to address biases in materials science, enabling a more balanced exploration of solid-state materials for new applications.

2 Oct 2024

LOLA Sets New Standards in Multilingual Natural Language Processing

Researchers introduced LOLA, a massively multilingual LLM utilizing a sparse Mixture-of-Experts architecture, outperforming larger models on multilingual tasks with efficiency and scalability.

23 Sep 2024

Efficient LLM Auditing Using Fewer Than 20 Questions

Researchers introduce a new method to efficiently differentiate large language models (LLMs) in a black-box setting using fewer than 20 benign binary questions, improving accuracy and transparency in AI audits.

19 Sep 2024

How Is Generative AI Redefining Trust?

Researchers propose revisions to trust models, highlighting the complexities introduced by generative AI chatbots and the critical role of developers and training data.

9 Sep 2024

Generative Chatbots Amplify False Memories in Witness Interviews, Posing New Ethical Risks

Generative chatbots significantly increase the formation and persistence of false memories during simulated crime witness interviews, raising ethical concerns about their use in sensitive contexts.

8 Sep 2024

Aleph Alpha's Pharia-1-LLM-7B Models Revolutionize Multilingual AI for Domain-Specific Tasks

Aleph Alpha has introduced the Pharia-1-LLM-7B models, optimized for concise, multilingual responses with domain-specific applications in automotive and engineering. The models include safety features and are available for non-commercial research.

4 Sep 2024

Transfer Learning Enhances Chatbot Models Across Domains

Researchers explored using transfer learning to improve chatbot models for customer service across various industries, showing significant performance boosts, particularly in data-scarce areas. The study demonstrated successful deployment on physical robots like Softbank's Pepper and Temi.

9 Aug 2024

Enhancing Emotion Detection with Multimodal LLMs

A study published in Future Internet explored the use of multimodal large language models (MLLMs) for emotion recognition from videos. The researchers combined visual and acoustic data to test MLLMs in a zero-shot learning setting, finding that MLLMs excelled in recognizing emotions with intensity deviations, though they did not outperform state-of-the-art models on the Hume-Reaction benchmark.

23 Jul 2024

CHEW: A Dataset for Enhancing Temporal Awareness in LLMs

Researchers recently introduced the CHEW dataset to evaluate large language models' (LLMs) ability to understand and generate timelines of entities and events based on Wikipedia revisions. By testing models like Llama and Mistral, the study demonstrated improvements in tracking information changes over time, thereby addressing the common issue of temporal misalignment in LLMs.

12 Jul 2024

LLMs Automate Automated Essay Scoring

Researchers explored the potential of large language models (LLMs) like GPT-4 and Claude 2 for automated essay scoring (AES), showing that these AI systems offer reliable and valid scoring comparable to human raters. The study underscores the promise of LLMs in educational technology, while highlighting the need for further refinement and ethical considerations.

9 Jul 2024

"Chameleon" Advances Multimodal AI Integration

Researchers introduced "Chameleon," a mixed-modal foundation model designed to seamlessly integrate text and images using an early-fusion token-based method. The model demonstrated superior performance in tasks such as visual question answering and image captioning, setting new standards for multimodal AI and offering broad applications in content creation, interactive systems, and data analysis.

3 Jul 2024