Temporal QA

QA: Question Answering

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6 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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Mem++: Non-Destructive Memory for Long-Term Organizational LLM Agents
Oct 1, 2026Ahmad Yehia, Aly O. Abdelkareem, Islam Ahmed +4LLM Agent Memory Persistent Memory for Language Models
The University of Texas at Austin · AIDAChip Inc.
Video Evidence Indexing: Learning Where to Look from Video Previews for Token-Budgeted Long-Video Question Answering
Sep 30, 2026Haowen Guan, Shengzhi Li, Shichao PeiVideo QA Long-Video QA
Beyond the Timeline: Augmenting Long-Video Memory with Grounded Entity Biographies
Sep 29, 2026Hui Ren, Lei Fan, Henry Pao +5Multimodal Memory Question Answering
University of Illinois Urbana-Champaign · Amazon.com, Inc.
TEMA: Evidence-Grounded Temporal Question Answering in Multi-Turn Multi-Audio Dialogs
Sep 24, 2026Kaidi Yang, Hualei Wang, Zhaohui Wang +3Audio QA Temporal Audio Grounding
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. · University of Chinese Academy of Sciences, Beijing, China.
STSG-VQA: Evidence-Grounded Temporal Question Answering from Surgical Spatio-Temporal Scene Graphs
Sep 8, 2026Jing Li, Duygu SarikayaMedical VQA Question Answering
School of Computer Science, University of Leeds, UK
SentryLine: Evidence-Grounded Question Answering over Evolving Documents in Oncology Care
Sep 8, 2026Tampu Ravi Kumar, Gaurav Najpande, Muhammad Ali Khan +7Question Answering Clinical QA
Arizona State University · Mayo Clinic · Jawaharlal Nehru Medical College
Temporal Misgrounding in Legal RAG: A Versioned-Corpus Benchmark for French Tax Law
Aug 10, 2026Rose Cymbler, Daniel Guez, Laurent FabreTemporal IR Legal QA
Talia, Paris, France · Databricks
Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding
Aug 9, 2026Mahbub E Sobhani, Md. Faiyaz Abdullah Sayeedi, Fahmid Hasan Chowdhury +4LLM Evaluation Document QA
1BRAC University · 2United International University · 3North South University +1
SodaMem: Evidence-Grounded Temporal Graph Memory for LLM Agents
Aug 8, 2026Fengrong Wan, Chengcan Wu, Ningtao LyuMemory Agent Benchmarks Graph-Based Agent Memory
1Peking University
DAEP: Difficulty-Aware Evidence Planning for Medical Video Corpus Temporal Answer Grounding
Aug 7, 2026Tianjian He, Yujie Liu, Zhiping Huang +1Temporal Video Grounding Video Understanding
TikTok, ByteDance, China · Beijing Institute of Graphic Communication, Beijing, China · Lingnan University, Hong Kong, China
ChronoStitch: Training-Free Composition of Visual KV Memories for Long-Horizon Temporal Reasoning
Jul 21, 2026Santiram Tiwari, Nishant Sinha, Kunal KislayMemory-Augmented VLMs KV Caching
KGraph AI Solutions Pvt. Ltd., Bangalore, India – 560016
Presentation, Not Mechanism: A Render Confound in Deprecation-Aware Memory Evaluation
Jul 17, 2026Zhaoyang Jiang, Zhizhong Fu, Zicheng Li +5LLM Memory Question Answering
School of Health & Wellbeing, University of Glasgow, Glasgow, UK · School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China · Institute of Health Informatics, University College London, London, UK +1
What Does a Temporal Benchmark Score Measure? Decomposing Channel Use in Video VLM Evaluation
Jul 14, 2026Farrukh RahmanVLM Evaluation Temporal Reasoning
Microsoft · Georgia Institute of Technology
PRISM Edit: One Vector for All Temporal Answers
Jul 13, 2026Chen Huang, Qi Zheng, Ruiqin Zheng +2Temporal Reasoning in Language Models Model Editing
Tsinghua University · ByteDance
GigaChat Audio: Time-aware Large Audio Language Model
Jul 11, 2026Aleksandr Kutsakov, Mariia Sadovina, Georgii Gospodinov +4Audio QA Audio Understanding
SaluteDevices, Russia
Narrative World Model: Narratology-Grounded Writer Memory for Long-Form Fiction
Jul 6, 2026Mohammad Saifullah, Thomas Kornmaier, Taaha Kazi +3Multi-Hop QA Question Answering
PocketFM
TRACE: State-Aware Query Processing over Temporal Evidence Graphs for Conversational Data
Jul 1, 2026Maolin Wang, Yu Wang, Zichun Liu +5Multi-Hop QA Graph Retrieval-Augmented Generation
Hong Kong Institute of AI for Science, City University of Hong Kong, Hong Kong SAR, China · Independent Researcher, Beijing, China · Central South University, Changsha, China +1
ViTexQA: A Multi-Frame Temporal Perception Dataset for Video Text Question Answering
Jun 23, 2026Zhentao Guo, Chen Duan, Tongkun Guan +3Multimodal Large Language Models Video QA
Meituan · Shanghai Jiao Tong University
Right Knowledge, Wrong Answer: Test-Time Steering for Temporal Fact Conflicts in Open-Weight Language Models
Jun 18, 2026Elias Hossain, Sourav Saha, Umesh Chandra Biswas +1Knowledge Conflicts in Language Models Temporal Reasoning in Language Models
University of Central Florida · 2Mississippi State University
TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living
Jun 18, 2026Arkaprava Sinha, Dominick Reilly, Siddharth Krishnan +2Temporal Video Grounding Efficient VLM Inference
University of North Carolina, Charlotte
VL-MemKnG: Hybrid Memory with a Spatio-Temporal Knowledge Graph for Question Answering over Long Egocentric Navigation Trajectories
Jun 15, 2026Svetlana Lukina, Mohamad Al Mdfaa, Gloria Haro +2Egocentric Video QA Video QA
Mobile Robotics Laboratory, Artificial Intelligence Center, Moscow, Russia · Intelligent Multimodal Vision Analysis Group, Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain · Independent Researcher
IA-RAG: Interval-Algebra-Driven Temporal Reasoning for Dynamic Knowledge Retrieval
Jun 4, 2026Xiaoman Wang, Yaoze Zhang, Wenzhuo Fan +7Retrieval-Augmented Generation Temporal IR
East China Normal University · Shanghai Artificial Intelligence Laboratory · University of Shanghai for Science and Technology +1
TLG: Temporal-Logic Grounding for Video Question Answering via Source-Annotation Reconstruction and Category-Targeted Reasoning
Jun 1, 2026Ali AlaviTemporal Video Grounding Logical Reasoning
The Ohio State University
Temporal Evidence Routing with Structured Visual Evidence for TimeLogicQA
May 31, 2026Yuyang Sun, Yongliang Wu, Xingyu Zhu +8Video QA Structured Reasoning
Southeast University · National University of Singapore · Independent Researcher +2
LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know?
May 27, 2026HuiMing Fan, Xiao Wang, Zheng Chu +5Computer-Use Agent Benchmarks LLM Agent Evaluation
1Harbin Institute of Technology · 2Xiaohongshu
CuriosAI Submission to the CASTLE Challenge at EgoVis 2026
May 27, 2026Yuto Kanda, Hayato Tanoue, Takayuki HoriEgocentric Video QA Egocentric Video Understanding
SoftBank Corp.
TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering
May 23, 2026Liying Han, Kang Yang, Oliver Wang +9LLM Evaluation Time Series Reasoning
University of California, Los Angeles · Samsung Research America · Carnegie Mellon University +2
Asking For An Old Friend: Diagnosing and Mitigating Temporal Failure Modes in LLM-based Statutory Question Answering
May 22, 2026Max Prior, Andreas Schultz, Matthias GrabmairRetrieval-Augmented Generation Temporal IR
Technical University of Munich Garching near Munich, Germany
Understanding Data Temporality Impact on Large Language Models Pre-training
May 21, 2026Hippolyte Pilchen, Romain Fabre, Franck Signe Talla +2Language Model Pretraining Temporal Reasoning in Language Models
Kyutai, Paris
Teaching Large Language Models When Not to Know: Learning Temporal Critique for Ex-Ante Reasoning
May 14, 2026Chenlu Ding, Jiancan Wu, Yanchen Luo +3LLM Prompting LLM Fine-Tuning
University of Science and Technology of China · The Hong Kong Polytechnic University · University of Notre Dame

Oct 1, 2026, cs.CLJ/K move · Enter open · S save

Mem++: Non-Destructive Memory for Long-Term Organizational LLM Agents

Ahmad Yehia, Aly O. Abdelkareem, Islam Ahmed, Hesham Omran+3

The University of Texas at Austin · AIDAChip Inc.

LLM Agent Memory Persistent Memory for Language Models Question Answering Agent Memory Management Temporal QA

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Large Language Model (LLM) agents now take part in organizational work, where many authors record decisions across documents over months. Because a revised decision arrives as a new document rather than an edit, answering a question requires knowing which version held at a given time. However, most memory systems compress the record at write time. By distilling each document into facts, notes or graph edges, these methods fix what can be answered before any question is asked. To address this, we propose Mem++, a non-destructive memory framework shifting from write-time distillation to read-time selection. Mem++ stores every document whole with its date and author, and it calls no generative model at write time. At read time, it retrieves only documents dated up to the time a question asks about and fuses lexical and semantic rankings. Unlike systems that overwrite older versions, Mem++ keeps them and leaves the choice to the answering model. Evaluations on the organizational benchmark OrgMemBench demonstrate that Mem++ surpasses the strongest memory system baseline by 8.0 to 13.1 points across two answering models. With gpt-4.1-mini, it also achieves the best overall score, 2.6 points above RAG. In addition, Mem++ achieves the best average LLM-judge score on LoCoMo and ranks second on LongMemEval-S, behind only its entity-graph variant. Code for benchmark evaluation is available at https://github.com/AIDAChip-Inc/mem-plus-plus.

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Latest papers 38