conftrace_

prompt engineering

1,136 papers

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Also known as

PE

Co-occurring keywords · papers mentioning both

large language model (705) few-shot learning (179) in-context learning (151) zero-shot learning (147) language model (84) text classification (83) text generation (66) chain-of-thought prompting (56) prompt optimization (48) chain of thought (47)

Papers

CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses NeurIPS 2024 Cognitive Bias in Decision-Making with LLMs EMNLP 2024 COMMA: Co-articulated Multi-Modal Learning AAAI 2024 CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving NAACL 2024 Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective ACL 2024 Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages NAACL 2024 Comparing Template-based and Template-free Language Model Probing EACL 2024 Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect Hallucination SemEval 2024 Conditioning LLMs with Emotion in Neural Machine Translation ACL 2024 Constructing Dreams Using Generative AI AAAI 2024 Context Matters: Enhancing Metaphor Recognition in Proverbs COLING 2024 Crafting In-context Examples according to LMs’ Parametric Knowledge NAACL 2024 Creative and Context-Aware Translation of East Asian Idioms with GPT-4 EMNLP 2024 CrowdCounter: A benchmark type-specific multi-target counterspeech dataset CoNLL 2024 Ctyun AI at BioLaySumm: Enhancing Lay Summaries of Biomedical Articles Through Large Language Models and Data Augmentation ACL 2024 Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting EMNLP 2024 Customizing Language Model Responses with Contrastive In-Context Learning AAAI 2024 DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning SemEval 2024 DDPrompt: Differential Diversity Prompting in Large Language Models ACL 2024 Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games ACL 2024 Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning ACL 2024 Deconstructing In-Context Learning: Understanding Prompts via Corruption COLING 2024 Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts ACL 2024 Depth Prompting for Sensor-Agnostic Depth Estimation CVPR 2024 Designing Informative Metrics for Few-Shot Example Selection ACL 2024