{"total":28,"rows":[{"id":"2510.25760","title":"Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks","created":"2025-10-29","cited_by_count":33,"area":"lr"},{"id":"2508.12495","title":"Mitigating Hallucinations in Large Language Models via Causal Reasoning","created":"2025-08-17","cited_by_count":13,"area":"lr"},{"id":"2507.10624","title":"Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and Reasoning","created":"2025-07-14","cited_by_count":9,"area":"lr"},{"id":"2508.08344","title":"What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge","created":"2025-08-11","cited_by_count":9,"area":"lr"},{"id":"2504.04110","title":"PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement","created":"2025-04-05","cited_by_count":7,"area":"lr"},{"id":"2505.09438","title":"Evaluating GPT- and Reasoning-based Large Language Models on Physics Olympiad Problems: Surpassing Human Performance and Implications for Educational Assessment","created":"2025-05-14","cited_by_count":7,"area":"lr"},{"id":"2506.21557","title":"Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning","created":"2025-06-11","cited_by_count":7,"area":"lr"},{"id":"2508.04289","title":"Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement","created":"2025-08-06","cited_by_count":6,"area":"lr"},{"id":"2512.18196","title":"LogicReward: Incentivizing LLM Reasoning via Step-Wise Logical Supervision","created":"2025-12-20","cited_by_count":6,"area":"lr"},{"id":"2506.08768","title":"AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP","created":"2025-06-10","cited_by_count":5,"area":"lr"},{"id":"2509.06024","title":"Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL","created":"2025-09-07","cited_by_count":5,"area":"lr"},{"id":"2507.09751","title":"Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations","created":"2025-07-13","cited_by_count":4,"area":"lr"},{"id":"2508.01969","title":"Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling","created":"2025-08-04","cited_by_count":4,"area":"lr"},{"id":"2509.03345","title":"Do Language Models Follow Occam's Razor? An Evaluation of Parsimony in Inductive and Abductive Reasoning","created":"2025-09-03","cited_by_count":4,"area":"lr"},{"id":"2509.16590","title":"Question Answering with LLMs and Learning from Answer Sets","created":"2025-09-20","cited_by_count":4,"area":"lr"},{"id":"2510.26606","title":"Normative Reasoning in Large Language Models: A Comparative Benchmark from Logical and Modal Perspectives","created":"2025-10-30","cited_by_count":3,"area":"lr"},{"id":"2507.02256","title":"Uncertainty-aware Reward Design Process","created":"2025-07-03","cited_by_count":1,"area":"lr"},{"id":"2605.10082","title":"FERA: Uncertainty-Aware Federated Reasoning for Large Language Models","created":"2026-05-11","cited_by_count":1,"area":"lr"},{"id":"2608.07931","title":"REIN: Bridging the Gap between Reasoning and Reliability via Reflection and Abstention Alignment","created":"2026-08-08","cited_by_count":1,"area":"lr"},{"id":"2609.21492","title":"LogicTrack: Auditing Reasoning Trajectories of Large Language Models with Formal Logic Solvers","created":"2026-09-18","cited_by_count":1,"area":"lr"},{"id":"2512.02246","title":"DETAIL Matters: Measuring the Impact of Prompt Specificity on Reasoning in Large Language Models","created":"2025-12-01","cited_by_count":0,"area":"lr"},{"id":"2601.05705","title":"Logic-Parametric Neuro-Symbolic NLI: Controlling Logical Formalisms for Verifiable LLM Reasoning","created":"2026-01-09","cited_by_count":0,"area":"lr"},{"id":"2602.14035","title":"FloCA: Towards Faithful and Logically Consistent Flowchart Reasoning","created":"2026-02-15","cited_by_count":0,"area":"lr"},{"id":"2604.19716","title":"Discovering a Shared Logical Subspace: Steering LLM Logical Reasoning via Alignment of Natural-Language and Symbolic Views","created":"2026-04-21","cited_by_count":0,"area":"lr"},{"id":"2607.14349","title":"HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization","created":"2026-07-15","cited_by_count":0,"area":"lr"},{"id":"2607.23019","title":"Reason Popper-ly: Patching In-Context Reasoning with Inductive Logic Programming","created":"2026-07-25","cited_by_count":0,"area":"lr"},{"id":"2608.15673","title":"PL-Guard: Probabilistic Logic Reasoning for LLM Guardrails","created":"2026-08-16","cited_by_count":0,"area":"lr"},{"id":"2608.30256","title":"Beyond Surface Forms: Symbolic Edits as a Test for Logical Reasoning with LLMs","created":"2026-08-31","cited_by_count":0,"area":"lr"}],"next_cursor":null}