https://github.com/bytedance/salmonn
공식 코드SALMONN: Towards Generic Hearing Abilities for Large Language Models
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
SALMONN: Towards Generic Hearing Abilities for Large Language Models
Valley2: Exploring Multimodal Models with Scalable Vision-Language Design
video-SALMONN 2: Captioning-Enhanced Audio-Visual Large Language Models
LM4LV: A Frozen Large Language Model for Low-level Vision Tasks
StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting
LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners
An Open-Source Knowledge Graph Ecosystem for the Life Sciences
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
Self-Augmented In-Context Learning for Unsupervised Word Translation
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
Can Large Language Model Agents Simulate Human Trust Behavior?
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
OASIS: Open Agent Social Interaction Simulations with One Million Agents
OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon
Round Trip Translation Defence against Large Language Model Jailbreaking Attacks
Online Detecting LLM-Generated Texts via Sequential Hypothesis Testing by Betting
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks
An Invariant Learning Characterization of Controlled Text Generation
LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing
DataChat: Prototyping a Conversational Agent for Dataset Search and Visualization
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track
UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
Identifying and Extracting Rare Disease Phenotypes with Large Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.