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

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns ACL 2024 PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression NeurIPS 2024 PWEITINLP at SemEval-2024 Task 3: Two Step Emotion Cause Analysis SemEval 2024 PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference ACL 2024 Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts EMNLP 2024 PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs EMNLP 2024 QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models ICLR 2024 QBB: Quantization with Binary Bases for LLMs NeurIPS 2024 QDMR-based Planning-and-Solving Prompting for Complex Reasoning Tasks COLING 2024 QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning EMNLP 2024 QEFT: Quantization for Efficient Fine-Tuning of LLMs EMNLP 2024 QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models ICLR 2024 QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs EMNLP 2024 QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism EMNLP 2024 Qsnail: A Questionnaire Dataset for Sequential Question Generation COLING 2024 QTIP: Quantization with Trellises and Incoherence Processing NeurIPS 2024 QualEval: Qualitative Evaluation for Model Improvement NAACL 2024 Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs EMNLP 2024 Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation EMNLP 2024 QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NeurIPS 2024 Quantifying and Analyzing Entity-Level Memorization in Large Language Models AAAI 2024 Quantifying Generalizations: Exploring the Divide Between Human and LLMs’ Sensitivity to Quantification ACL 2024 Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles EMNLP 2024 Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting ICLR 2024 Quantifying the Persona Effect in LLM Simulations ACL 2024