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Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
Paper • 2309.08963 • Published • 9 -
DSG: An End-to-End Document Structure Generator
Paper • 2310.09118 • Published • 2 -
Integrating Graphs with Large Language Models: Methods and Prospects
Paper • 2310.05499 • Published • 1 -
Schema-learning and rebinding as mechanisms of in-context learning and emergence
Paper • 2307.01201 • Published • 2
Collections
Discover the best community collections!
Collections including paper arxiv:2401.04398
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Effective Distillation of Table-based Reasoning Ability from LLMs
Paper • 2309.13182 • Published • 1 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
Tab-CoT: Zero-shot Tabular Chain of Thought
Paper • 2305.17812 • Published • 2 -
GitTables: A Large-Scale Corpus of Relational Tables
Paper • 2106.07258 • Published • 1
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Ada-Instruct: Adapting Instruction Generators for Complex Reasoning
Paper • 2310.04484 • Published • 5 -
Diversity of Thought Improves Reasoning Abilities of Large Language Models
Paper • 2310.07088 • Published • 5 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
Paper • 2310.13332 • Published • 14
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Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Paper • 2310.15123 • Published • 7 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 18 -
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection
Paper • 2310.05035 • Published • 1 -
Chain-of-Thought Reasoning is a Policy Improvement Operator
Paper • 2309.08589 • Published • 1
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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 16
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 22 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 17 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 29 -
The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 16