Co-occurring keywords · papers mentioning both
Papers
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
NeurIPS 2024
WebWISE: Unlocking Web Interface Control for LLMs via Sequential Exploration
NAACL 2024
We Don’t Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models
ACL 2024
WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark
Interspeech 2024
WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts
NeurIPS 2024
What an Elegant Bridge: Multilingual LLMs are Biased Similarly in Different Languages
EMNLP 2024
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
EMNLP 2024
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
ACL 2024
What Do Language Models Hear? Probing for Auditory Representations in Language Models
ACL 2024
What Do Language Models Learn in Context? The Structured Task Hypothesis.
ACL 2024
What do Large Language Models Need for Machine Translation Evaluation?
EMNLP 2024
What Do Transformers Know about Government?
COLING 2024
What Factors Influence LLMs’ Judgments? A Case Study on Question Answering
COLING 2024
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
CVPR 2024
What is the Best Way for ChatGPT to Translate Poetry?
ACL 2024
“What is the value of templates?” Rethinking Document Information Extraction Datasets for LLMs
EMNLP 2024
What Kind of Sourcery is This? Evaluating GPT-4’s Performance on Linking Scientific Fact to Citations
EMNLP 2024
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
NeurIPS 2024
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
ICLR 2024
What Makes Math Word Problems Challenging for LLMs?
NAACL 2024
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation
AAAI 2024
What matters when building vision-language models?
NeurIPS 2024
When ”A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
EMNLP 2024
When Context Leads but Parametric Memory Follows in Large Language Models
EMNLP 2024
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
EACL 2024