Saved in:
| Main Authors: | Tarasov, Dmitrii, Goncharova, Elizaveta, Andrey, Kuznetsov |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.08128 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Image Reconstruction as a Tool for Feature Analysis
by: Allakhverdov, Eduard, et al.
Published: (2025)
by: Allakhverdov, Eduard, et al.
Published: (2025)
MOVE: A Mixture-of-Vision-Encoders Approach for Domain-Focused Vision-Language Processing
by: Skripkin, Matvey, et al.
Published: (2025)
by: Skripkin, Matvey, et al.
Published: (2025)
Back to Basics: Revisiting Exploration in Reinforcement Learning for LLM Reasoning via Generative Probabilities
by: Li, Pengyi, et al.
Published: (2026)
by: Li, Pengyi, et al.
Published: (2026)
Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality
by: Chekalina, Viktoriia, et al.
Published: (2024)
by: Chekalina, Viktoriia, et al.
Published: (2024)
SONAR-LLM: Autoregressive Transformer that Thinks in Sentence Embeddings and Speaks in Tokens
by: Dragunov, Nikita, et al.
Published: (2025)
by: Dragunov, Nikita, et al.
Published: (2025)
LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers
by: Razzhigaev, Anton, et al.
Published: (2025)
by: Razzhigaev, Anton, et al.
Published: (2025)
Compressing Lengthy Context With UltraGist
by: Zhang, Peitian, et al.
Published: (2024)
by: Zhang, Peitian, et al.
Published: (2024)
Simple Vision-Language Math Reasoning via Rendered Text
by: Skripkin, Matvey, et al.
Published: (2025)
by: Skripkin, Matvey, et al.
Published: (2025)
When Less is Enough: Adaptive Token Reduction for Efficient Image Representation
by: Allakhverdov, Eduard, et al.
Published: (2025)
by: Allakhverdov, Eduard, et al.
Published: (2025)
UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression
by: Deng, Chenlong, et al.
Published: (2025)
by: Deng, Chenlong, et al.
Published: (2025)
Long Context In-Context Compression by Getting to the Gist of Gisting
by: Petrov, Aleksandar, et al.
Published: (2025)
by: Petrov, Aleksandar, et al.
Published: (2025)
The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models
by: Razzhigaev, Anton, et al.
Published: (2023)
by: Razzhigaev, Anton, et al.
Published: (2023)
Your Transformer is Secretly Linear
by: Razzhigaev, Anton, et al.
Published: (2024)
by: Razzhigaev, Anton, et al.
Published: (2024)
Learning to Compress Prompts with Gist Tokens
by: Mu, Jesse, et al.
Published: (2023)
by: Mu, Jesse, et al.
Published: (2023)
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
by: Gupta, Shivanshu, et al.
Published: (2023)
by: Gupta, Shivanshu, et al.
Published: (2023)
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
by: Lee, Kuang-Huei, et al.
Published: (2024)
by: Lee, Kuang-Huei, et al.
Published: (2024)
A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression
by: Deng, Chenlong, et al.
Published: (2024)
by: Deng, Chenlong, et al.
Published: (2024)
Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression
by: Li, Xinze, et al.
Published: (2024)
by: Li, Xinze, et al.
Published: (2024)
EmoGist: Efficient In-Context Learning for Visual Emotion Understanding
by: Seoh, Ronald, et al.
Published: (2025)
by: Seoh, Ronald, et al.
Published: (2025)
Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences
by: Korzh, Dmitrii, et al.
Published: (2025)
by: Korzh, Dmitrii, et al.
Published: (2025)
Investigating the Effectiveness of HyperTuning via Gisting
by: Phang, Jason
Published: (2024)
by: Phang, Jason
Published: (2024)
On the Sensitivity of Instruction-tuned LLMs to Harmful Sentences in Long Inputs
by: Ghorbanpour, Faeze, et al.
Published: (2025)
by: Ghorbanpour, Faeze, et al.
Published: (2025)
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference
by: Liskavets, Barys, et al.
Published: (2024)
by: Liskavets, Barys, et al.
Published: (2024)
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
by: Jiang, Huiqiang, et al.
Published: (2023)
by: Jiang, Huiqiang, et al.
Published: (2023)
Task-agnostic Prompt Compression with Context-aware Sentence Embedding and Reward-guided Task Descriptor
by: Liskavets, Barys, et al.
Published: (2025)
by: Liskavets, Barys, et al.
Published: (2025)
EndPrompt: Efficient Long-Context Extension via Terminal Anchoring
by: Tian, Han, et al.
Published: (2026)
by: Tian, Han, et al.
Published: (2026)
DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs
by: Zhou, Xiabin, et al.
Published: (2024)
by: Zhou, Xiabin, et al.
Published: (2024)
GRKV: Global Regression for Training-Free KV Cache Compression in Long-Context LLMs
by: Peng, Junjie, et al.
Published: (2026)
by: Peng, Junjie, et al.
Published: (2026)
ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs
by: Li, Xuancheng, et al.
Published: (2026)
by: Li, Xuancheng, et al.
Published: (2026)
LongAttnComp: Cross-Family Context Compression for Long-Context Reasoning
by: Ji, Mengmeng, et al.
Published: (2026)
by: Ji, Mengmeng, et al.
Published: (2026)
Tiny Transformers Excel at Sentence Compression
by: Belcak, Peter, et al.
Published: (2024)
by: Belcak, Peter, et al.
Published: (2024)
ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs
by: Liu, Xin, et al.
Published: (2025)
by: Liu, Xin, et al.
Published: (2025)
LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs
by: An, Sumin, et al.
Published: (2025)
by: An, Sumin, et al.
Published: (2025)
Long Context Compression with Activation Beacon
by: Zhang, Peitian, et al.
Published: (2024)
by: Zhang, Peitian, et al.
Published: (2024)
Efficient Zero-Shot Long Document Classification by Reducing Context Through Sentence Ranking
by: Kokate, Prathamesh, et al.
Published: (2025)
by: Kokate, Prathamesh, et al.
Published: (2025)
CompLLM: Compression for Long Context Q&A
by: Berton, Gabriele, et al.
Published: (2025)
by: Berton, Gabriele, 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)
UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs
by: Li, Wenhao, et al.
Published: (2024)
by: Li, Wenhao, et al.
Published: (2024)
Predicting Sentence Acceptability Judgments in Multimodal Contexts
by: Jang, Hyewon, et al.
Published: (2026)
by: Jang, Hyewon, et al.
Published: (2026)
Can LLMs Understand the Implication of Emphasized Sentences in Dialogue?
by: Lin, Guan-Ting, et al.
Published: (2024)
by: Lin, Guan-Ting, et al.
Published: (2024)
Similar Items
-
Image Reconstruction as a Tool for Feature Analysis
by: Allakhverdov, Eduard, et al.
Published: (2025) -
MOVE: A Mixture-of-Vision-Encoders Approach for Domain-Focused Vision-Language Processing
by: Skripkin, Matvey, et al.
Published: (2025) -
Back to Basics: Revisiting Exploration in Reinforcement Learning for LLM Reasoning via Generative Probabilities
by: Li, Pengyi, et al.
Published: (2026) -
Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality
by: Chekalina, Viktoriia, et al.
Published: (2024) -
SONAR-LLM: Autoregressive Transformer that Thinks in Sentence Embeddings and Speaks in Tokens
by: Dragunov, Nikita, et al.
Published: (2025)