Papers Large Language Model
“Large Language Model” 태그가 달린 논문 6,097편 · 필터 해제
The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective
Large-language-model (LLM)-based AI agents have recently showcased impressive versatility by employing dynamic reasoning, an adaptive, multi-step process that coordinates with external tools. This shift from static, sing…
AI AgentLarge Language ModelEvaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets
The misuse of Large Language Models (LLMs) to infer emotions from text for malicious purposes, known as emotion inference attacks, poses a significant threat to user privacy. In this paper, we investigate the potential o…
Language ModelingLanguage ModellingLarge Language ModelPrivacy PreservingUnderstanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems
The NLP research community has made publicly available numerous instruments for measuring representational harms caused by large language model (LLM)-based systems. These instruments have taken the form of datasets, metr…
Language ModelingLanguage ModellingLarge Language ModelThink Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate
Automated counter-narratives (CN) offer a promising strategy for mitigating online hate speech, yet concerns about their affective tone, accessibility, and ethical risks remain. We propose a framework for evaluating Larg…
Language ModelingLanguage ModellingLarge Language ModelAgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents
As Large Language Model (LLM) agents become more widespread, associated misalignment risks increase. Prior work has examined agents' ability to enact misaligned behaviour (misalignment capability) and their compliance wi…
Large Language ModelPrompt EngineeringCogniPair: From LLM Chatbots to Conscious AI Agents -- GNWT-Based Multi-Agent Digital Twins for Social Pairing -- Dating & Hiring Applications
Current large language model (LLM) agents lack authentic human psychological processes necessary for genuine digital twins and social AI applications. To address this limitation, we present a computational implementation…
Large Language Model"Don't Do That!": Guiding Embodied Systems through Large Language Model-based Constraint Generation
Recent advancements in large language models (LLMs) have spurred interest in robotic navigation that incorporates complex spatial, mathematical, and conditional constraints from natural language into the planning problem…
Language ModelingLanguage ModellingLarge Language ModelA Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions
Automated speaking assessment (ASA) on opinion expressions is often hampered by the scarcity of labeled recordings, which restricts prompt diversity and undermines scoring reliability. To address this challenge, we propo…
Data AugmentationDiversityLanguage ModelingLanguage Modelling+6Seed-Coder: Let the Code Model Curate Data for Itself
Code data in large language model (LLM) pretraining is recognized crucial not only for code-related tasks but also for enhancing general intelligence of LLMs. Current open-source LLMs often heavily rely on human effort t…
Code CompletionCode GenerationLarge Language ModelGEM: Empowering LLM for both Embedding Generation and Language Understanding
Large decoder-only language models (LLMs) have achieved remarkable success in generation and reasoning tasks, where they generate text responses given instructions. However, many applications, e.g., retrieval augmented g…
DecoderLarge Language ModelMMLURAG+2MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale
We introduce MedAgentGYM, the first publicly available training environment designed to enhance coding-based medical reasoning capabilities in large language model (LLM) agents. MedAgentGYM comprises 72,413 task instance…
BenchmarkingLanguage ModelingLanguage ModellingLarge Language Model+1Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback
Training large language model (LLM) agents to acquire necessary skills and perform diverse tasks within an environment is gaining interest as a means to enable open-endedness. However, creating the training dataset for t…
Large Language ModelRewardAnything: Generalizable Principle-Following Reward Models
Reward Models, essential for guiding Large Language Model optimization, are typically trained on fixed preference datasets, resulting in rigid alignment to single, implicit preference distributions. This prevents adaptat…
Instruction FollowingLarge Language ModelModel OptimizationEuroLLM-9B: Technical Report
This report presents EuroLLM-9B, a large language model trained from scratch to support the needs of European citizens by covering all 24 official European Union languages and 11 additional languages. EuroLLM addresses t…
Language ModelingLanguage ModellingLarge Language ModelMachine TranslationPOSS: Position Specialist Generates Better Draft for Speculative Decoding
Speculative decoding accelerates Large Language Model (LLM) inference by using a small draft model to predict multiple tokens, and a large target model to verify these tokens in parallel. Recent studies leverage the hidd…
Language ModelingLanguage ModellingLarge Language ModelPositionEvaluating Large Language Model Capabilities in Assessing Spatial Econometrics Research
This paper investigates Large Language Models (LLMs) ability to assess the economic soundness and theoretical consistency of empirical findings in spatial econometrics. We created original and deliberately altered "count…
counterfactualEconometricsLanguage ModelingLanguage Modelling+1CyberGym: Evaluating AI Agents' Cybersecurity Capabilities with Real-World Vulnerabilities at Scale
Large language model (LLM) agents are becoming increasingly skilled at handling cybersecurity tasks autonomously. Thoroughly assessing their cybersecurity capabilities is critical and urgent, given the high stakes in thi…
Large Language ModelTestAgent: An Adaptive and Intelligent Expert for Human Assessment
Accurately assessing internal human states is key to understanding preferences, offering personalized services, and identifying challenges in real-world applications. Originating from psychometrics, adaptive testing has …
Large Language ModelQuestion SelectionSociologyTalkingMachines: Real-Time Audio-Driven FaceTime-Style Video via Autoregressive Diffusion Models
In this paper, we present TalkingMachines -- an efficient framework that transforms pretrained video generation models into real-time, audio-driven character animators. TalkingMachines enables natural conversational expe…
DecoderKnowledge DistillationLanguage ModelingLanguage Modelling+2Adaptive Graph Pruning for Multi-Agent Communication
Large Language Model (LLM) based multi-agent systems have shown remarkable performance in various tasks, especially when enhanced through collaborative communication. However, current methods often rely on a fixed number…
Code GenerationLarge Language ModelMathematical Reasoning