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Collections including paper arxiv:2309.11495
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JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 33 -
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Paper • 2310.12823 • Published • 35 -
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Paper • 2303.16634 • Published • 3 -
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Paper • 2310.12397 • Published • 1
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Detecting Pretraining Data from Large Language Models
Paper • 2310.16789 • Published • 10 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 18 -
AutoMix: Automatically Mixing Language Models
Paper • 2310.12963 • Published • 14 -
An Emulator for Fine-Tuning Large Language Models using Small Language Models
Paper • 2310.12962 • Published • 14
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AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Paper • 2309.16414 • Published • 19 -
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model
Paper • 2309.13018 • Published • 9 -
Robust Speech Recognition via Large-Scale Weak Supervision
Paper • 2212.04356 • Published • 26 -
Language models in molecular discovery
Paper • 2309.16235 • Published • 10
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Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 37 -
LMDX: Language Model-based Document Information Extraction and Localization
Paper • 2309.10952 • Published • 65 -
Aligning Large Multimodal Models with Factually Augmented RLHF
Paper • 2309.14525 • Published • 30 -
SCREWS: A Modular Framework for Reasoning with Revisions
Paper • 2309.13075 • Published • 15
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Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 37 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 74 -
SCREWS: A Modular Framework for Reasoning with Revisions
Paper • 2309.13075 • Published • 15 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53
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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 88 -
Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 37 -
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Paper • 2308.13259 • Published • 2 -
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Paper • 2309.06794 • Published • 1
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Language Modeling Is Compression
Paper • 2309.10668 • Published • 83 -
Baichuan 2: Open Large-scale Language Models
Paper • 2309.10305 • Published • 19 -
Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 37 -
LMDX: Language Model-based Document Information Extraction and Localization
Paper • 2309.10952 • Published • 65