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

The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation EMNLP 2023 ThinkSum: Probabilistic reasoning over sets using large language models ACL 2023 This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models EMNLP 2023 Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing EMNLP 2023 Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning EMNLP 2023 TLM: Token-Level Masking for Transformers EMNLP 2023 TOA: Task-oriented Active VQA NeurIPS 2023 Token Prediction as Implicit Classification to Identify LLM-Generated Text EMNLP 2023 Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions ACL 2023 ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind CoNLL 2023 Toolformer: Language Models Can Teach Themselves to Use Tools NeurIPS 2023 ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings NeurIPS 2023 ToolQA: A Dataset for LLM Question Answering with External Tools NeurIPS 2023 Toward Human Readable Prompt Tuning: Kubrick’s The Shining is a good movie, and a good prompt too? EMNLP 2023 Towards Agile Text Classifiers for Everyone EMNLP 2023 Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models EMNLP 2023 Towards a Unified Framework for Reference Retrieval and Related Work Generation EMNLP 2023 Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models ACL 2023 Towards Better Evaluation for Formality-Controlled English-Japanese Machine Translation EMNLP 2023 Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization CoNLL 2023 Towards Concept-Aware Large Language Models EMNLP 2023 Towards Effective Disambiguation for Machine Translation with Large Language Models EMNLP 2023 Towards Explainable and Accessible AI EMNLP 2023 Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning EMNLP 2023 Towards Informative Open-ended Text Generation with Dynamic Knowledge Triples EMNLP 2023