{"total":67,"rows":[{"id":"2404.11757","title":"Language Models Still Struggle to Zero-shot Reason about Time Series","created":"2024-04-17","cited_by_count":88,"area":"lr"},{"id":"2405.10825","title":"Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities","created":"2024-05-17","cited_by_count":83,"area":"lr"},{"id":"2503.16858","title":"MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answering","created":"2025-03-21","cited_by_count":55,"area":"lr"},{"id":"2405.14170","title":"Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning","created":"2024-05-23","cited_by_count":41,"area":"lr"},{"id":"2409.11376","title":"Towards Time Series Reasoning with LLMs","created":"2024-09-17","cited_by_count":37,"area":"lr"},{"id":"2506.10630","title":"Time Series Forecasting via Reasoning: A Slow-Thinking Approach with Reinforcement Fine-Tuned LLMs","created":"2025-06-12","cited_by_count":34,"area":"lr"},{"id":"2410.04047","title":"TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis","created":"2024-10-05","cited_by_count":29,"area":"lr"},{"id":"2403.19857","title":"LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces","created":"2024-03-28","cited_by_count":28,"area":"lr"},{"id":"2505.24511","title":"Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting","created":"2025-05-30","cited_by_count":20,"area":"lr"},{"id":"2506.13705","title":"TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning","created":"2025-06-16","cited_by_count":18,"area":"lr"},{"id":"2510.13654","title":"Rethinking Evaluation in the Era of Time Series Foundation Models: (Un)known Information Leakage Challenges","created":"2025-10-15","cited_by_count":16,"area":"lr"},{"id":"2506.23219","title":"UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding","created":"2025-06-29","cited_by_count":15,"area":"lr"},{"id":"2510.03255","title":"SciTS: Scientific Time Series Understanding and Generation with LLMs","created":"2025-09-26","cited_by_count":15,"area":"lr"},{"id":"2503.17726","title":"A Survey on Mathematical Reasoning and Optimization with Large Language Models","created":"2025-03-22","cited_by_count":12,"area":"lr"},{"id":"2510.03519","title":"TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning","created":"2025-10-03","cited_by_count":12,"area":"lr"},{"id":"2511.08947","title":"AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting","created":"2025-11-12","cited_by_count":12,"area":"lr"},{"id":"2603.06638","title":"HEARTS: Benchmarking LLM Reasoning on Health Time Series","created":"2026-02-25","cited_by_count":11,"area":"lr"},{"id":"2509.20823","title":"CaTS-Bench: Can Language Models Describe Time Series?","created":"2025-09-25","cited_by_count":10,"area":"lr"},{"id":"2602.03164","title":"MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning","created":"2026-02-03","cited_by_count":9,"area":"lr"},{"id":"2601.03248","title":"STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning","created":"2026-01-06","cited_by_count":7,"area":"lr"},{"id":"2604.10291","title":"TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale","created":"2026-04-11","cited_by_count":6,"area":"lr"},{"id":"2510.01116","title":"Eliciting Chain-of-Thought Reasoning for Time Series Analysis using Reinforcement Learning","created":"2025-10-01","cited_by_count":5,"area":"lr"},{"id":"2603.15452","title":"Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting","created":"2026-03-16","cited_by_count":5,"area":"lr"},{"id":"2606.01498","title":"TimeSage-MT: A Multi-Turn Benchmark for Evaluating Agentic Time Series Reasoning","created":"2026-05-31","cited_by_count":5,"area":"lr"},{"id":"2503.02379","title":"Teaching Metric Distance to Discrete Autoregressive Language Models","created":"2025-03-04","cited_by_count":4,"area":"lr"},{"id":"2601.10132","title":"Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction","created":"2026-01-15","cited_by_count":4,"area":"lr"},{"id":"2509.04791","title":"What-If Analysis of Large Language Models: Explore the Game World Using Proactive Thinking","created":"2025-09-05","cited_by_count":3,"area":"lr"},{"id":"2511.06344","title":"TimeSense:Making Large Language Models Proficient in Time-Series Analysis","created":"2025-11-09","cited_by_count":3,"area":"lr"},{"id":"2602.14744","title":"Rethinking the Role of LLMs in Time Series Forecasting","created":"2026-02-16","cited_by_count":3,"area":"lr"},{"id":"2604.17295","title":"LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics","created":"2026-04-19","cited_by_count":3,"area":"lr"},{"id":"2605.08625","title":"Reasoning-Aware Training for Time Series Forecasting","created":"2026-05-09","cited_by_count":3,"area":"lr"},{"id":"2506.23128","title":"Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons","created":"2025-06-29","cited_by_count":2,"area":"lr"},{"id":"2508.09630","title":"TimeMKG: Knowledge-Infused Causal Reasoning for Multivariate Time Series Modeling","created":"2025-08-13","cited_by_count":2,"area":"lr"},{"id":"2509.08742","title":"FinZero: Launching Multi-modal Financial Time Series Forecast with Large Reasoning Model","created":"2025-09-10","cited_by_count":2,"area":"lr"},{"id":"2602.03026","title":"Visual Reasoning over Time Series via Multi-Agent System","created":"2026-02-03","cited_by_count":2,"area":"lr"},{"id":"2602.12143","title":"STAR : Bridging Statistical and Agentic Reasoning for Large Model Performance Prediction","created":"2026-02-12","cited_by_count":2,"area":"lr"},{"id":"2602.19455","title":"SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning","created":"2026-02-23","cited_by_count":2,"area":"lr"},{"id":"2607.08046","title":"What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness","created":"2026-07-09","cited_by_count":2,"area":"lr"},{"id":"2607.08940","title":"TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning","created":"2026-07-09","cited_by_count":2,"area":"lr"},{"id":"2512.19299","title":"Helios: A Foundational Language Model for Smart Energy Knowledge Reasoning and Application","created":"2025-12-22","cited_by_count":1,"area":"lr"},{"id":"2512.22627","title":"Chain-of-thought Reviewing and Correction for Time Series Question Answering","created":"2025-12-27","cited_by_count":1,"area":"lr"},{"id":"2601.16516","title":"Rethinking Large Language Models For Irregular Time Series Classification In Critical Care","created":"2026-01-23","cited_by_count":1,"area":"lr"},{"id":"2605.21975","title":"Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs","created":"2026-05-21","cited_by_count":1,"area":"lr"},{"id":"2607.25947","title":"A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series","created":"2026-07-28","cited_by_count":1,"area":"lr"},{"id":"2608.00200","title":"TRACE-TS: Attribution-Grounded and Traceable Sensor-Language Reasoning for Human Activity Understanding","created":"2026-07-31","cited_by_count":1,"area":"lr"},{"id":"2608.13129","title":"Numeracy in Large Language Models: Fundamental Limitations and Paths to Improvement","created":"2026-08-13","cited_by_count":1,"area":"lr"},{"id":"2502.05699","title":"Context information can be more important than reasoning for time series forecasting with a large language model","created":"2025-02-08","cited_by_count":0,"area":"lr"},{"id":"2509.18169","title":"PiERN: Token-Level Routing for Integrating High-Precision Computation and Reasoning","created":"2025-09-17","cited_by_count":0,"area":"lr"},{"id":"2510.12067","title":"HiCoTraj:Zero-Shot Demographic Reasoning via Hierarchical Chain-of-Thought Prompting from Trajectory","created":"2025-10-14","cited_by_count":0,"area":"lr"},{"id":"2510.25091","title":"H3M-SSMoEs: Hypergraph-based Multimodal Learning with LLM Reasoning and Style-Structured Mixture of Experts","created":"2025-10-29","cited_by_count":0,"area":"lr"},{"id":"2511.00808","title":"Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events?","created":"2025-11-02","cited_by_count":0,"area":"lr"},{"id":"2512.04871","title":"STELLA: Guiding Large Language Models for Time Series Forecasting with Semantic Abstractions","created":"2025-12-04","cited_by_count":0,"area":"lr"},{"id":"2512.05419","title":"TS-HINT: Enhancing Semiconductor Time Series Regression Using Attention Hints From Large Language Model Reasoning","created":"2025-12-05","cited_by_count":0,"area":"lr"},{"id":"2601.02968","title":"Rationale-Grounded In-Context Learning for Time Series Reasoning with Multimodal Large Language Models","created":"2026-01-06","cited_by_count":0,"area":"lr"},{"id":"2602.16188","title":"Deep TPC: Temporal-Prior Conditioning for Time Series Forecasting","created":"2026-02-18","cited_by_count":0,"area":"lr"},{"id":"2603.07989","title":"AutoTraces: Autoregressive Trajectory Forecasting via Multimodal Large Language Models","created":"2026-03-09","cited_by_count":0,"area":"lr"},{"id":"2604.18305","title":"CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting","created":"2026-04-20","cited_by_count":0,"area":"lr"},{"id":"2604.21479","title":"Frozen LLMs as Map-Aware Spatio-Temporal Reasoners for Vehicle Trajectory Prediction","created":"2026-04-23","cited_by_count":0,"area":"lr"},{"id":"2605.14636","title":"Teaching Large Language Models When Not to Know: Learning Temporal Critique for Ex-Ante Reasoning","created":"2026-05-14","cited_by_count":0,"area":"lr"},{"id":"2605.24573","title":"AstroMind: A High-Fidelity Benchmark for Spacecraft Behavior Reasoning Based on Large Language Models","created":"2026-05-23","cited_by_count":0,"area":"lr"},{"id":"2606.08633","title":"Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models","created":"2026-06-07","cited_by_count":0,"area":"lr"},{"id":"2606.09030","title":"TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs","created":"2026-06-08","cited_by_count":0,"area":"lr"},{"id":"2608.08675","title":"Efficient Test-Time Scaling for LLM-based Time Series Forecasting","created":"2026-08-09","cited_by_count":0,"area":"lr"},{"id":"2609.36914","title":"Can Language Models Learn to Forecast Stock Prices","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2609.40265","title":"OpenTSLM TeeMoE: A Unified Time-Series Language Model for Forecasting, Contextual Prediction, and Reasoning","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2610.01076","title":"GLoC-EHR: Evidence-Cited Clinical Reasoning over Global Context and Local EHR Events","created":"2026-10-01","cited_by_count":0,"area":"lr"},{"id":"2610.04109","title":"SEER: Self-Evolving Event Reasoning and Retrieval for Time Series Forecasting","created":"2026-10-02","cited_by_count":0,"area":"lr"}],"next_cursor":null}