conftrace_

large language model

14,686 papers

Explore in graph

Also known as

LLM LLMS

Co-occurring keywords · papers mentioning both

in-context learning (789) question answering (737) zero-shot learning (717) benchmark evaluation (705) prompt engineering (705) retrieval-augmented generation (672) text generation (668) multimodal learning (651) text classification (646) few-shot learning (636)

Papers

CUTE: Measuring LLMs’ Understanding of Their Tokens EMNLP 2024 Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models ACL 2024 CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs AAAI 2024 DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models EMNLP 2024 DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation NeurIPS 2024 DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models ACL 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 DALD: Improving Logits-based Detector without Logits from Black-box LLMs NeurIPS 2024 DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer’s Disease Questions with Scientific Literature EMNLP 2024 DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination EMNLP 2024 Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models EMNLP 2024 DanteLLM: Let’s Push Italian LLM Research Forward! COLING 2024 DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs ACL 2024 Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models EMNLP 2024 Data Anonymization for Privacy-Preserving Large Language Model Fine-Tuning on Call Transcripts EACL 2024 Data-Augmentation-Based Dialectal Adaptation for LLMs NAACL 2024 Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges ACL 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 Data Contamination Report from the 2024 CONDA Shared Task ACL 2024 DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows ACL 2024 Data Driven Approach for Mathematical Problem Solving COLING 2024 Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models NeurIPS 2024 Data-Efficient Learning with Neural Programs NeurIPS 2024 DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure ACML 2024 Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NeurIPS 2024