Time Series QA

QA: Question Answering

Overview

Time-series question answering studies how systems can answer questions about trends, events, intervals, and forecasts in data collected over time, making signals easier to use in settings such as medicine, finance, and incident response. Approaches include aligning time-series encoders with language models, representing signals as structured events, and using tools for retrieval, numerical computation, or forecasting. Benchmarks increasingly test temporal localization, long contexts, irregular sampling, and multimodal evidence across clinical, industrial, and financial data. A central challenge is ensuring answers are grounded in the relevant observations: strong aggregate scores can hide errors in evidence use, temporal reasoning, and tool coordination.

Latest papers

CardsList

32 papers5 papers in the last four weeks, down 29% on the four weeks before. 0.0% of all new papers.

  1. Lapras: Latent Reasoning for Time Series Language Models

    Oct 8, 2026Yuliang Chen, Yu Yvonne Wu, Patrick Langer +11Time Series Language ModelingTemporal Reasoning in Language Models

  2. Do Time-Series QA Systems Read the Time Series? Evidence Use and Reasoning Reliability

    Oct 5, 2026Zhuomin Chen, Jingchao Ni, Xu Zheng +4Time Series ReasoningTime Series QA

  3. Zero-Shot Time-Series Question Answering via Decoupled Perception and Reasoning

    Oct 4, 2026Jing Xie, Haochen Yuan, Yunbo WangTime Series QATime Series Reasoning

  4. TQTS-Bench: A Multi-Syntax Benchmark for Text-to-Query over Time-Series Databases

    Sep 28, 2026Fei Lyu, Zhiyi Peng, Jiaming Liu +5LLM EvaluationTime Series QA

  5. ViSTA: A Simple Bridge Extends Visual Alignment to Clinical Time-Series Understanding in Multimodal LLMs

    Sep 25, 2026Junyi Gao, Yu Shi, Pingzhao Hu +1VLM AdaptationMedical VLMs

  6. TimeEvo: Failure-Driven Self-Evolution of a Time Series Agent

    Sep 23, 2026Jie Yang, Yan Zheng, Jiarui Sun +8Time Series QALLM Agent Self-Improvement

  7. T-SMART: Mechanism-Level Attribution for Tool-Augmented Time-Series Question Answering

    Sep 12, 2026Ivan Delgado, Himansi Gupta, Bishal Khatri +4Time Series QATime Series Reasoning

  8. TimeThink: Eliciting Compositional Reasoning in Timeseries Large Language Models

    Sep 11, 2026Sudarshan Regmi, Arvind Pillai, Yu Yvonne Wu +7Time Series ReasoningTime Series QA

  9. STQA: A Benchmark for Stock-Focused Tabular Question Answering over Historical and Forecasted Data

    Sep 5, 2026Baoxu An, Wenmian Yang, Zhensheng Wang +1Table QATime Series QA

  10. MMTClinic: Multimodal, Multilingual Time Series Question Answering and Reasoning Benchmark for Clinical Domain

    Sep 4, 2026Sourav Malakar, Harshit Nigam, Akash Ghosh +4Time Series QAClinical Language Model Evaluation

  11. TimeSage-EV: A Live Benchmark for Agentic Time Series Analysis in Evolving Environments

    Aug 14, 2026Qingren Yao, Yaxuan Kong, Yuqi Nie +6Agentic Time Series ForecastingTime Series QA

  12. WaveformQA: Benchmarking LLM Temporal Reasoning on Digital Waveforms

    Jul 22, 2026Yichuan Liu, Daniel Cummings, Nick VadlamudiLLM EvaluationTime Series QA

  13. CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series

    Jul 10, 2026Frank Nie, Ethan B. Liu, Yuan Zhu +3Irregular Time-Series ModelingTime Series QA

  14. From Recognition to Understanding: Unlocking Cognitive Time Series Reasoning with LLMs

    Jun 20, 2026Xin Qiu, Junlong Tong, Yao Zhang +3Time Series ReasoningTime Series QA

  15. Can LLM Coding Agents Reason About Time Series?

    Jun 15, 2026Filip Rechtorík, Ondřej Dušek, Zdeněk KasnerTime Series ReasoningTime Series QA

  16. Towards Verifiable Agentic Data Science: Solving Irregular TSQA Via Tool-Grounded Reasoning

    Jun 13, 2026Sanhorn Chen, Xiaoyang Chen, Boyu Liu +1Irregular Time-Series ModelingLLM Evaluation

  17. Representing Time Series as Structured Programs for LLM Reasoning

    Jun 10, 2026Jaeho Kim, Changhun Oh, Seokhyun Lee +2Time Series ReasoningTime Series QA

  18. ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and Reasoning

    Jun 1, 2026Zhensheng Wang, Xiaole Liu, Wenmian Yang +3Table QATime Series Reasoning

  19. TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering

    May 23, 2026Liying Han, Kang Yang, Oliver Wang +9LLM EvaluationTime Series Reasoning

  20. ARFBench: Benchmarking Time Series Question Answering Ability for Software Incident Response

    Apr 23, 2026Stephan Xie, Ben Cohen, Mononito Goswami +6Time Series ReasoningTime Series QA

  21. Thoth: Mid-Training Bridges LLMs to Time Series Understanding

    Mar 1, 2026Jiafeng Lin, Yuxuan Wang, Jialong Wu +3Temporal Reasoning in Language ModelsLLM Training

  22. PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering

    Feb 26, 2026Junkai Lu, Peng Chen, Xingjian Wu +4Time Series ReasoningTime Series QA

  23. Adaptive Time Series Reasoning via Segment Selection

    Feb 20, 2026Shvat Messica, Jiawen Zhang, Kevin Li +2Time Series ReasoningTime Series QA

  24. Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases

    Feb 19, 2026Zhao Tan, Yiji Zhao, Shiyu Wang +5Time Series QATemporal IR

  25. TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning

    Feb 15, 2026Nicolas Zumarraga, Thomas Kaar, Ning Wang +12Time Series ReasoningTime Series QA