Papers Large Language Model
“Large Language Model” 태그가 달린 논문 6,097편 · 필터 해제
ASMR: Augmenting Life Scenario using Large Generative Models for Robotic Action Reflection
When designing robots to assist in everyday human activities, it is crucial to enhance user requests with visual cues from their surroundings for improved intent understanding. This process is defined as a multimodal cla…
Data AugmentationLarge Language ModelStream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model
The emergence of GPT-4o-like large multimodal models (LMMs) has raised the exploration of integrating text, vision, and speech modalities to support more flexible multimodal interaction. Existing LMMs typically concatena…
Large Language Modelmultimodal interactionEmoNews: A Spoken Dialogue System for Expressive News Conversations
We develop a task-oriented spoken dialogue system (SDS) that regulates emotional speech based on contextual cues to enable more empathetic news conversations. Despite advancements in emotional text-to-speech (TTS) techni…
Language ModelingLanguage ModellingLarge Language Modeltext-to-speech+1ProfiLLM: 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 ModelCalibrated Predictive Lower Bounds on Time-to-Unsafe-Sampling in LLMs
We develop a framework to quantify the time-to-unsafe-sampling - the number of large language model (LLM) generations required to trigger an unsafe (e.g., toxic) response. Estimating this quantity is challenging, since u…
Conformal PredictionLarge Language ModelSurvival AnalysisBi-directional Context-Enhanced Speech Large Language Models for Multilingual Conversational ASR
This paper introduces the integration of language-specific bi-directional context into a speech large language model (SLLM) to improve multilingual continuous conversational automatic speech recognition (ASR). We propose…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Language ModelingLanguage Modelling+3CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model
Multimodal Large Language Models (MLLMs) have rapidly evolved with the growth of Large Language Models (LLMs) and are now applied in various fields. In finance, the integration of diverse modalities such as text, charts,…
Decision MakingFinancial AnalysisLanguage ModelingLanguage Modelling+2Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems
With the advancement of large language models, many dialogue systems are now capable of providing reasonable and informative responses to patients' medical conditions. However, when patients consult their doctor, they ma…
Large Language ModelSciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
The rapid growth of scientific literature demands robust tools for automated survey-generation. However, current large language model (LLM)-based methods often lack in-depth analysis, structural coherence, and reliable c…
Language ModelingLanguage ModellingLarge Language ModelRetrievalInformation Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek
This study examines information suppression mechanisms in DeepSeek, an open-source large language model (LLM) developed in China. We propose an auditing framework and use it to analyze the model's responses to 646 politi…
Language ModelingLanguage ModellingLarge Language ModelFrom Human to Machine Psychology: A Conceptual Framework for Understanding Well-Being in Large Language Model
As large language models (LLMs) increasingly simulate human cognition and behavior, researchers have begun to investigate their psychological properties. Yet, what it means for such models to flourish, a core construct i…
Language ModelingLanguage ModellingLarge Language ModelFlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) plays a pivotal role in modern large language model applications, with numerous existing frameworks offering a wide range of functionalities to facilitate the development of RAG syste…
Language ModelingLanguage ModellingLarge Language ModelRAG+2TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks
Model routing allocates queries to the suitable model, improving system performance while reducing costs. However, existing routing methods face practical limitations that hinder scalability in large-scale applications a…
Language ModelingLanguage ModellingLarge Language ModelText GenerationThe Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries
Large Language Model (LLM) libraries have emerged as the foundational infrastructure powering today's AI revolution, serving as the backbone for LLM deployment, inference optimization, fine-tuning, and production serving…
Bug fixingInference OptimizationLarge Language ModelFrom Emergence to Control: Probing and Modulating Self-Reflection in Language Models
Self-reflection -- the ability of a large language model (LLM) to revisit, evaluate, and revise its own reasoning -- has recently emerged as a powerful behavior enabled by reinforcement learning with verifiable rewards (…
Large Language ModelNavigateSEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks
Rigorous security-focused evaluation of large language model (LLM) agents is imperative for establishing trust in their safe deployment throughout the software development lifecycle. However, existing benchmarks largely …
BenchmarkingLarge Language ModelSemantic Preprocessing for LLM-based Malware Analysis
In a context of malware analysis, numerous approaches rely on Artificial Intelligence to handle a large volume of data. However, these techniques focus on data view (images, sequences) and not on an expert's view. Notici…
Language ModelingLanguage ModellingLarge Language ModelMalware Analysis+1FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
The continuous growth of the e-commerce industry attracts fraudsters who exploit stolen credit card details. Companies often investigate suspicious transactions in order to retain customer trust and address gaps in their…
Fraud DetectionLanguage ModelingLanguage ModellingLarge Language ModelThe Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
Large Language Model (LLM)-based agents have significantly impacted Task-Oriented Dialog Systems (TODS) but continue to face notable performance challenges, especially in zero-shot scenarios. While prior work has noted t…
Large Language ModelLarge Language Model-Powered Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers: Enhancing Empathy and Therapeutic Alliance Using In-Context Learning
Family caregivers often face substantial mental health challenges due to their multifaceted roles and limited resources. This study explored the potential of a large language model (LLM)-powered conversational agent to d…
In-Context LearningLanguage ModelingLanguage ModellingLarge Language Model+2