conftrace_

prompt engineering

1135 papers

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Also known as

PE

Co-occurring keywords

large language model (13587) few-shot learning (3398) in-context learning (1405) zero-shot learning (3650) text classification (6793) language model (4599) text generation (2913) chain-of-thought prompting (313) chain of thought (285) question answering (2963)

Papers

On the Worst Prompt Performance of Large Language Models NIPS 2024

CrowdCounter: A benchmark type-specific multi-target counterspeech dataset CONLL 2024

OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMs SEMEVAL 2024

0x.Yuan at SemEval-2024 Task 5: Enhancing Legal Argument Reasoning with Structured Prompts SEMEVAL 2024

BITS Pilani at SemEval-2024 Task 9: Prompt Engineering with GPT-4 for Solving Brainteasers SEMEVAL 2024

Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect Hallucination SEMEVAL 2024

ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning SEMEVAL 2024

UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI SEMEVAL 2024

Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back SEMEVAL 2024

iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers SEMEVAL 2024

Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt Optimization SEMEVAL 2024

UP5: Unbiased Foundation Model for Fairness-aware Recommendation EACL 2024

A Prompt Response to the Demand for Automatic Gender-Neutral Translation EACL 2024

NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation EACL 2024

Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach EACL 2024

A Dual-Prompting for Interpretable Mental Health Language Models EACL 2024

PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI To Mitigate Image Demographic Biases WACV 2024

Instruct Me More! Random Prompting for Visual In-Context Learning WACV 2024

Assessing the Capabilities of Large Language Models in Coreference: An Evaluation COLING 2024

ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting COLING 2024

Context Matters: Enhancing Metaphor Recognition in Proverbs COLING 2024

Deconstructing In-Context Learning: Understanding Prompts via Corruption COLING 2024

DGoT: Dynamic Graph of Thoughts for Scientific Abstract Generation COLING 2024

Enhancing Text-to-SQL Capabilities of Large Language Models through Tailored Promptings COLING 2024

Prompting for Numerical Sequences: A Case Study on Market Comment Generation COLING 2024