{"total":22,"rows":[{"id":"2302.12246","title":"Active Prompting with Chain-of-Thought for Large Language Models","created":"2023-02-23","cited_by_count":154,"area":"lr"},{"id":"2302.12822","title":"Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data","created":"2023-02-24","cited_by_count":119,"area":"lr"},{"id":"2305.14045","title":"The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning","created":"2023-05-23","cited_by_count":108,"area":"lr"},{"id":"2505.13308","title":"Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space","created":"2025-05-19","cited_by_count":43,"area":"lr"},{"id":"2407.07433","title":"Controllable Navigation Instruction Generation with Chain of Thought Prompting","created":"2024-07-10","cited_by_count":21,"area":"lr"},{"id":"2210.08590","title":"Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective","created":"2022-10-16","cited_by_count":14,"area":"lr"},{"id":"2404.09170","title":"Distilling Reasoning Ability from Large Language Models with Adaptive Thinking","created":"2024-04-14","cited_by_count":13,"area":"lr"},{"id":"2308.13676","title":"Rethinking Language Models as Symbolic Knowledge Graphs","created":"2023-08-25","cited_by_count":12,"area":"lr"},{"id":"2409.05559","title":"IFAR: Multi-Perspective and Multi-Level Causal Discovery with LLMs","created":"2024-09-09","cited_by_count":9,"area":"lr"},{"id":"2502.08092","title":"GCoT: Chain-of-Thought Prompt Learning for Graphs","created":"2025-02-12","cited_by_count":9,"area":"lr"},{"id":"2503.13208","title":"Improving Complex Reasoning with Dynamic Prompt Corruption: A soft prompt Optimization Approach","created":"2025-03-17","cited_by_count":9,"area":"lr"},{"id":"2502.18239","title":"Unveiling and Causalizing CoT: A Causal Pespective","created":"2025-02-25","cited_by_count":6,"area":"lr"},{"id":"2501.09804","title":"Enhancing Generalization in Chain of Thought Reasoning for Smaller Models","created":"2025-01-16","cited_by_count":5,"area":"lr"},{"id":"2310.11721","title":"Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding","created":"2023-10-18","cited_by_count":4,"area":"lr"},{"id":"2509.09381","title":"Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research","created":"2025-09-11","cited_by_count":3,"area":"lr"},{"id":"2605.11936","title":"From Noise to Diversity: Random Embedding Injection in LLM Reasoning","created":"2026-05-12","cited_by_count":3,"area":"lr"},{"id":"2406.16567","title":"Data Augmentation of Multi-turn Psychological Dialogue via Knowledge-driven Progressive Thought Prompting","created":"2024-06-24","cited_by_count":2,"area":"lr"},{"id":"2309.15074","title":"Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial","created":"2023-09-24","cited_by_count":1,"area":"lr"},{"id":"2404.00051","title":"Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning","created":"2024-03-25","cited_by_count":1,"area":"lr"},{"id":"2510.06005","title":"MASA: Rethinking the Representational Bottleneck in LoRA with Multi-A Shared Adaptation","created":"2025-10-07","cited_by_count":1,"area":"lr"},{"id":"2210.07295","title":"Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog","created":"2022-10-13","cited_by_count":0,"area":"lr"},{"id":"2608.02585","title":"GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning","created":"2026-08-03","cited_by_count":0,"area":"lr"}],"next_cursor":null}