ETT: Expanding the Long Context Understanding Capability of LLMs at Test-Time
Fuente:
arXiv
Saved in:
| Main Authors: | Zahirnia, Kiarash, Golpayegani, Zahra, Ahmed, Walid, Liu, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
by: Liu, Xiaoran, et al.
Published: (2025)
by: Liu, Xiaoran, et al.
Published: (2025)
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding
by: Zhu, Lijing, et al.
Published: (2025)
by: Zhu, Lijing, et al.
Published: (2025)
Beyond Isolated Capabilities: Bridging Long CoT Reasoning and Long-Context Understanding
by: Wang, Yifei
Published: (2025)
by: Wang, Yifei
Published: (2025)
Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs
by: Bansal, Rachit, et al.
Published: (2025)
by: Bansal, Rachit, et al.
Published: (2025)
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities
by: Tang, Hua, et al.
Published: (2024)
by: Tang, Hua, et al.
Published: (2024)
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents
by: Zhao, Yilun, et al.
Published: (2023)
by: Zhao, Yilun, et al.
Published: (2023)
Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective
by: Zhong, Meizhi, et al.
Published: (2024)
by: Zhong, Meizhi, et al.
Published: (2024)
SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
by: Sun, Huashan, et al.
Published: (2025)
by: Sun, Huashan, et al.
Published: (2025)
FLOP-Efficient Training: Early Stopping Based on Test-Time Compute Awareness
by: Amer, Hossam, et al.
Published: (2026)
by: Amer, Hossam, et al.
Published: (2026)
CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning
by: Cui, Hao, et al.
Published: (2025)
by: Cui, Hao, et al.
Published: (2025)
Expanding Computation Spaces of LLMs at Inference Time
by: Jang, Yoonna, et al.
Published: (2025)
by: Jang, Yoonna, et al.
Published: (2025)
LIFT: A Novel Framework for Enhancing Long-Context Understanding of LLMs via Long Input Fine-Tuning
by: Mao, Yansheng, et al.
Published: (2025)
by: Mao, Yansheng, et al.
Published: (2025)
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
by: Lin, Hongzhan, et al.
Published: (2024)
by: Lin, Hongzhan, et al.
Published: (2024)
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
by: Yang, Cehao, et al.
Published: (2025)
by: Yang, Cehao, et al.
Published: (2025)
Equipping Transformer with Random-Access Reading for Long-Context Understanding
by: Yang, Chenghao, et al.
Published: (2024)
by: Yang, Chenghao, et al.
Published: (2024)
Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs
by: Bai, Jun, et al.
Published: (2025)
by: Bai, Jun, et al.
Published: (2025)
Evaluating LLMs' Divergent Thinking Capabilities for Scientific Idea Generation with Minimal Context
by: Ruan, Kai, et al.
Published: (2024)
by: Ruan, Kai, et al.
Published: (2024)
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
by: Kuratov, Yuri, et al.
Published: (2024)
by: Kuratov, Yuri, et al.
Published: (2024)
HIPPO: Enhancing the Table Understanding Capability of LLMs through Hybrid-Modal Preference Optimization
by: Wang, Haolan, et al.
Published: (2025)
by: Wang, Haolan, et al.
Published: (2025)
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
by: Xu, Peng, et al.
Published: (2024)
by: Xu, Peng, et al.
Published: (2024)
LLM Augmented LLMs: Expanding Capabilities through Composition
by: Bansal, Rachit, et al.
Published: (2024)
by: Bansal, Rachit, et al.
Published: (2024)
GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment
by: Lv, Minxuan, et al.
Published: (2026)
by: Lv, Minxuan, et al.
Published: (2026)
Are Long-LLMs A Necessity For Long-Context Tasks?
by: Qian, Hongjin, et al.
Published: (2024)
by: Qian, Hongjin, et al.
Published: (2024)
Culture Matters in Toxic Language Detection in Persian
by: Bokaei, Zahra, et al.
Published: (2025)
by: Bokaei, Zahra, et al.
Published: (2025)
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
by: Bai, Yushi, et al.
Published: (2023)
by: Bai, Yushi, et al.
Published: (2023)
LongSafety: Enhance Safety for Long-Context LLMs
by: Huang, Mianqiu, et al.
Published: (2024)
by: Huang, Mianqiu, et al.
Published: (2024)
Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
by: Bertsch, Amanda, et al.
Published: (2025)
by: Bertsch, Amanda, et al.
Published: (2025)
Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering
by: AlMannaa, Feras, et al.
Published: (2025)
by: AlMannaa, Feras, et al.
Published: (2025)
Retrieval Or Holistic Understanding? Dolce: Differentiate Our Long Context Evaluation Tasks
by: Yang, Zi
Published: (2024)
by: Yang, Zi
Published: (2024)
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling
by: Zheng, Tong, et al.
Published: (2026)
by: Zheng, Tong, et al.
Published: (2026)
Continuous Self-Improvement of Large Language Models by Test-time Training with Verifier-Driven Sample Selection
by: Moradi, Mohammad Mahdi, et al.
Published: (2025)
by: Moradi, Mohammad Mahdi, et al.
Published: (2025)
UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs
by: Li, Wenhao, et al.
Published: (2024)
by: Li, Wenhao, et al.
Published: (2024)
Self-Taught Agentic Long Context Understanding
by: Zhuang, Yufan, et al.
Published: (2025)
by: Zhuang, Yufan, et al.
Published: (2025)
DentalBench: Benchmarking and Advancing LLMs Capability for Bilingual Dentistry Understanding
by: Zhu, Hengchuan, et al.
Published: (2025)
by: Zhu, Hengchuan, et al.
Published: (2025)
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities
by: Sravanthi, Settaluri Lakshmi, et al.
Published: (2024)
by: Sravanthi, Settaluri Lakshmi, et al.
Published: (2024)
PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning
by: Chen, Zeming, et al.
Published: (2025)
by: Chen, Zeming, et al.
Published: (2025)
LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
by: Wu, Yuhao, et al.
Published: (2024)
by: Wu, Yuhao, et al.
Published: (2024)
DoubleDipper: Improving Long-Context LLMs via Context Recycling
by: Cattan, Arie, et al.
Published: (2024)
by: Cattan, Arie, et al.
Published: (2024)
Understanding Textual Capability Degradation in Speech LLMs via Parameter Importance Analysis
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
Counterfactual Cultural Cues Reduce Medical QA Accuracy in LLMs: Identifier vs Context Effects
by: Rezaei, Amirhossein Haji Mohammad, et al.
Published: (2026)
by: Rezaei, Amirhossein Haji Mohammad, et al.
Published: (2026)
Similar Items
-
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
by: Liu, Xiaoran, et al.
Published: (2025) -
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding
by: Zhu, Lijing, et al.
Published: (2025) -
Beyond Isolated Capabilities: Bridging Long CoT Reasoning and Long-Context Understanding
by: Wang, Yifei
Published: (2025) -
Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs
by: Bansal, Rachit, et al.
Published: (2025) -
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities
by: Tang, Hua, et al.
Published: (2024)