Papers Large Language Model
“Large Language Model” 태그가 달린 논문 6,097편 · 필터 해제
LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research
Large language model (LLM) agents have demonstrated remarkable potential in advancing scientific discovery. However, their capability in the fundamental yet crucial task of reproducing code from research papers, especial…
Language ModelingLanguage ModellingLarge Language Modelscientific discoveryThe Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units
This paper explores the relationship between the condition number of a neural network's weight tensor and the extent of information encoded by the associated processing unit, viewed through the lens of information theory…
Large Language ModelMultimodal Large Language ModeldeepSURF: Detecting Memory Safety Vulnerabilities in Rust Through Fuzzing LLM-Augmented Harnesses
Although Rust ensures memory safety by default, it also permits the use of unsafe code, which can introduce memory safety vulnerabilities if misused. Unfortunately, existing tools for detecting memory bugs in Rust typica…
Large Language ModelRAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
The rapid deployment of Large language model (LLM) agents in critical domains like healthcare and finance necessitates robust security frameworks. To address the absence of standardized evaluation benchmarks for these ag…
Language ModelingLanguage ModellingLarge Language ModelLLM Agent for Hyper-Parameter Optimization
Hyper-parameters are essential and critical for the performance of communication algorithms. However, current hyper-parameters tuning methods for warm-start particles swarm optimization with cross and mutation (WS-PSO-CM…
Large Language ModelSonicVerse: Multi-Task Learning for Music Feature-Informed Captioning
Detailed captions that accurately reflect the characteristics of a music piece can enrich music databases and drive forward research in music AI. This paper introduces a multi-task music captioning model, SonicVerse, tha…
Caption GenerationDescriptiveKey DetectionLarge Language Model+2video-SALMONN 2: Captioning-Enhanced Audio-Visual Large Language Models
Videos contain a wealth of information, and generating detailed and accurate descriptions in natural language is a key aspect of video understanding. In this paper, we present video-SALMONN 2, an advanced audio-visual la…
Audio captioningLarge Language ModelQuestion AnsweringVideo Captioning+2Make Your AUV Adaptive: An Environment-Aware Reinforcement Learning Framework For Underwater Tasks
This study presents a novel environment-aware reinforcement learning (RL) framework designed to augment the operational capabilities of autonomous underwater vehicles (AUVs) in underwater environments. Departing from tra…
Decision MakingLanguage ModelingLanguage ModellingLarge Language Model+1AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need
Large language model based multi-agent systems have demonstrated significant potential in social simulation and complex task resolution domains. However, current frameworks face critical challenges in system architecture…
GSM8KHumanEvalLarge Language ModelMath+1RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge
This paper presents the RMIT--ADM+S participation in the SIGIR 2025 LiveRAG Challenge. Our Generation-Retrieval-Augmented Generation (GRAG) approach relies on generating a hypothetical answer that is used in the retrieva…
Answer GenerationLanguage ModelingLanguage ModellingLarge Language Model+3ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM
Multimodal Large Language Model (MLLM) often suffer from hallucinations. They over-rely on partial cues and generate incorrect responses. Recently, methods like Visual Contrastive Decoding (VCD) and Instruction Contrasti…
HallucinationLanguage ModelingLanguage ModellingLarge Language Model+2From What to Respond to When to Respond: Timely Response Generation for Open-domain Dialogue Agents
While research on dialogue response generation has primarily focused on generating coherent responses conditioning on textual context, the critical question of when to respond grounded on the temporal context remains und…
Language ModelingLanguage ModellingLarge Language ModelResponse GenerationRing-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs
We present Ring-lite, a Mixture-of-Experts (MoE)-based large language model optimized via reinforcement learning (RL) to achieve efficient and robust reasoning capabilities. Built upon the publicly available Ling-lite mo…
Data IntegrationLarge Language ModelMixture-of-ExpertsReinforcement Learning (RL)Don't Make It Up: Preserving Ignorance Awareness in LLM Fine-Tuning
Existing work on mitigating catastrophic forgetting in large language model (LLM) fine-tuning has primarily focused on preserving specific data or tasks, while critically overlooking the degradation of essential capabili…
Language ModelingLanguage ModellingLarge Language ModelSafety AlignmentUnified Software Engineering agent as AI Software Engineer
The growth of Large Language Model (LLM) technology has raised expectations for automated coding. However, software engineering is more than coding and is concerned with activities including maintenance and evolution of …
Large Language ModelUtility-Driven Speculative Decoding for Mixture-of-Experts
GPU memory bandwidth is the main bottleneck for low-latency Large Language Model (LLM) inference. Speculative decoding leverages idle GPU compute by using a lightweight drafter to propose K tokens, which the LLM verifies…
GPULarge Language ModelMathMixture-of-ExpertsFEAST: A Flexible Mealtime-Assistance System Towards In-the-Wild Personalization
Physical caregiving robots hold promise for improving the quality of life of millions worldwide who require assistance with feeding. However, in-home meal assistance remains challenging due to the diversity of activities…
Large Language ModelThinking in Directivity: Speech Large Language Model for Multi-Talker Directional Speech Recognition
Recent studies have demonstrated that prompting large language models (LLM) with audio encodings enables effective speech recognition capabilities. However, the ability of Speech LLMs to comprehend and process multi-chan…
Data AugmentationLanguage ModelingLanguage ModellingLarge Language Model+2DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing
We introduce DisProtEdit, a controllable protein editing framework that leverages dual-channel natural language supervision to learn disentangled representations of structural and functional properties. Unlike prior appr…
AttributeDisentanglementLarge Language ModelRepresentation LearningVIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation
Data visualization generation using Large Language Models (LLMs) has shown promising results but often produces suboptimal visualizations that require human intervention for improvement. In this work, we introduce VIS-Sh…
Data VisualizationLanguage ModelingLanguage ModellingLarge Language Model+1