conftrace_

large language model

14,686 papers

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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

Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models NeurIPS 2024 Discovery of the Hidden World with Large Language Models NeurIPS 2024 DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding Interspeech 2024 Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations ACL 2024 Disentangling Length from Quality in Direct Preference Optimization ACL 2024 Disinformation Capabilities of Large Language Models ACL 2024 Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024 Distillation with Explanations from Large Language Models COLING 2024 Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning EMNLP 2024 Distilling Text Style Transfer With Self-Explanation From LLMs NAACL 2024 DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models ACL 2024 Distinguishing the Knowable from the Unknowable with Language Models ICML 2024 Distract Large Language Models for Automatic Jailbreak Attack EMNLP 2024 Distributional Preference Alignment of LLMs via Optimal Transport NeurIPS 2024 Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization EACL 2024 Diverse Person: Customize Your Own Dataset for Text-Based Person Search AAAI 2024 Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA EMNLP 2024 DiversityMedQA: A Benchmark for Assessing Demographic Biases in Medical Diagnosis using Large Language Models EMNLP 2024 DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions EMNLP 2024 DiveSound: LLM-Assisted Automatic Taxonomy Construction for Diverse Audio Generation Interspeech 2024 Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation NeurIPS 2024 Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models EMNLP 2024 DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text NAACL 2024