{"total":28,"rows":[{"id":"2502.06233","title":"Confidence Improves Self-Consistency in LLMs","created":"2025-02-10","cited_by_count":113,"area":"lr"},{"id":"2505.00661","title":"On the generalization of language models from in-context learning and finetuning: a controlled study","created":"2025-05-01","cited_by_count":40,"area":"lr"},{"id":"2505.13988","title":"The Hallucination Tax of Reinforcement Finetuning","created":"2025-05-20","cited_by_count":40,"area":"lr"},{"id":"2409.12568","title":"InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning","created":"2024-09-19","cited_by_count":36,"area":"lr"},{"id":"2508.01491","title":"The Homogenizing Effect of Large Language Models on Human Expression and Thought","created":"2025-08-02","cited_by_count":35,"area":"lr"},{"id":"2411.16679","title":"Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?","created":"2024-11-25","cited_by_count":28,"area":"lr"},{"id":"2410.15595","title":"A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications","created":"2024-10-21","cited_by_count":27,"area":"lr"},{"id":"2505.13026","title":"Step-wise Adaptive Integration of Supervised Fine-tuning and Reinforcement Learning for Task-Specific LLMs","created":"2025-05-19","cited_by_count":25,"area":"lr"},{"id":"2410.08085","title":"Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering","created":"2024-10-10","cited_by_count":24,"area":"lr"},{"id":"2406.19292","title":"From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data","created":"2024-06-27","cited_by_count":18,"area":"lr"},{"id":"2502.15799","title":"Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models","created":"2025-02-18","cited_by_count":18,"area":"lr"},{"id":"2506.10887","title":"Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers","created":"2025-06-12","cited_by_count":10,"area":"lr"},{"id":"2506.10508","title":"Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs","created":"2025-06-12","cited_by_count":9,"area":"lr"},{"id":"2505.03418","title":"Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey","created":"2025-05-06","cited_by_count":6,"area":"lr"},{"id":"2412.18415","title":"Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English","created":"2024-12-24","cited_by_count":5,"area":"lr"},{"id":"2504.00472","title":"Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning","created":"2025-04-01","cited_by_count":4,"area":"lr"},{"id":"2504.18080","title":"Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization","created":"2025-04-25","cited_by_count":4,"area":"lr"},{"id":"2506.17587","title":"HalluRNN: Mitigating Hallucinations via Recurrent Cross-Layer Reasoning in Large Vision-Language Models","created":"2025-06-21","cited_by_count":4,"area":"lr"},{"id":"2605.07153","title":"Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs","created":"2026-05-08","cited_by_count":4,"area":"lr"},{"id":"2505.11628","title":"Critique-Guided Distillation for Robust Reasoning via Refinement","created":"2025-05-16","cited_by_count":2,"area":"lr"},{"id":"2602.00723","title":"Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity","created":"2026-01-31","cited_by_count":2,"area":"lr"},{"id":"2507.18857","title":"PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning","created":"2025-07-25","cited_by_count":1,"area":"lr"},{"id":"2607.00447","title":"Understanding Why Language Models Hallucinate: Testing Reasoning Against Priors","created":"2026-07-01","cited_by_count":1,"area":"lr"},{"id":"2607.19367","title":"Rethinking Uncertainty Evaluation in Large Language Models","created":"2026-06-11","cited_by_count":1,"area":"lr"},{"id":"2608.21727","title":"Reinforcement Learning on Benign Facts Amplifies Leakage of Memorized Private Data","created":"2026-08-22","cited_by_count":1,"area":"lr"},{"id":"2601.10922","title":"Data-Efficient Curation for Multimodal Reasoning under Fixed Training Protocols","created":"2026-01-16","cited_by_count":0,"area":"lr"},{"id":"2606.11635","title":"Are LLMs Bad at Moral Reasoning?","created":"2026-06-10","cited_by_count":0,"area":"lr"},{"id":"2608.22806","title":"DIAG: Diagnostic Iterative Alignment and Generation for Data-Efficient Mathematical Preference Distillation","created":"2026-08-24","cited_by_count":0,"area":"lr"}],"next_cursor":null}