:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Shikun, Wang, Haoyu, Li, Mufei, Li, Pan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2510.08774
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding Token Probability Encoding in Output Embeddings
by: Cho, Hakaze, et al.
Published: (2024)

Scaling Embeddings Outperforms Scaling Experts in Language Models
by: Liu, Hong, et al.
Published: (2026)

Structured Query Construction via Knowledge Graph Embedding
by: Wang, Ruijie, et al.
Published: (2019)

Adaptive Pruning for Large Language Models with Structural Importance Awareness
by: Zheng, Haotian, et al.
Published: (2024)

SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
by: Li, Xiaopeng, et al.
Published: (2024)

Correcting Mean Bias in Text Embeddings: A Refined Renormalization with Training-Free Improvements on MMTEB
by: Ren, Xingyu, et al.
Published: (2025)

ELF: Embedded Language Flows
by: Hu, Keya, et al.
Published: (2026)

HoPE: A Novel Positional Encoding Without Long-Term Decay for Enhanced Context Awareness and Extrapolation
by: Chen, Yuhan, et al.
Published: (2024)

PAT: Pruning-Aware Tuning for Large Language Models
by: Liu, Yijiang, et al.
Published: (2024)

Large Language Model Unlearning via Embedding-Corrupted Prompts
by: Liu, Chris Yuhao, et al.
Published: (2024)

Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
by: Li, Mufei, et al.
Published: (2024)

Exposing LLM Safety Gaps Through Mathematical Encoding:New Attacks and Systematic Analysis
by: Zhang, Haoyu, et al.
Published: (2026)

Word Embeddings Are Steers for Language Models
by: Han, Chi, et al.
Published: (2023)

Trustworthy Summarization via Uncertainty Quantification and Risk Awareness in Large Language Models
by: Pan, Shuaidong, et al.
Published: (2025)

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
by: Yu, Zhuohao, et al.
Published: (2024)

Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks
by: Liu, Haoyu, et al.
Published: (2026)

Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization
by: Foroutan, Negar, et al.
Published: (2025)

Encoding Agent Trajectories as Representations with Sequence Transformers
by: Tsiligkaridis, Athanasios, et al.
Published: (2024)

GLProtein: Global-and-Local Structure Aware Protein Representation Learning
by: Liu, Yunqing, et al.
Published: (2025)

Adapt-Pruner: Adaptive Structural Pruning for Efficient Small Language Model Training
by: Pan, Rui, et al.
Published: (2025)

EmbedLLM: Learning Compact Representations of Large Language Models
by: Zhuang, Richard, et al.
Published: (2024)

AnglE-optimized Text Embeddings
by: Li, Xianming, et al.
Published: (2023)

LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV Indexing
by: Li, Dongfang, et al.
Published: (2026)

The Role of Diversity in In-Context Learning for Large Language Models
by: Xiao, Wenyang, et al.
Published: (2025)

Ovis: Structural Embedding Alignment for Multimodal Large Language Model
by: Lu, Shiyin, et al.
Published: (2024)

Sink-Aware Pruning for Diffusion Language Models
by: Myrzakhan, Aidar, et al.
Published: (2026)

Physics of Language Models: Part 1, Learning Hierarchical Language Structures
by: Allen-Zhu, Zeyuan, et al.
Published: (2023)

StrucText-Eval: Evaluating Large Language Model's Reasoning Ability in Structure-Rich Text
by: Gu, Zhouhong, et al.
Published: (2024)

Group Representational Position Encoding
by: Zhang, Yifan, et al.
Published: (2025)

Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models
by: Guo, Zhiyu, et al.
Published: (2024)

Structured Agent Distillation for Large Language Model
by: Liu, Jun, et al.
Published: (2025)

MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
by: Xiaomi, LLM-Core, et al.
Published: (2025)

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
by: Wang, Haoyu, et al.
Published: (2025)

ctELM: Decoding and Manipulating Embeddings of Clinical Trials with Embedding Language Models
by: Ondov, Brian, et al.
Published: (2026)

Asynchronous and Segmented Bidirectional Encoding for NMT
by: Yang, Jingpu, et al.
Published: (2024)

MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling
by: Limisiewicz, Tomasz, et al.
Published: (2024)

When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
by: Wang, Chao, et al.
Published: (2024)

Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
by: Jiang, Yichen, et al.
Published: (2024)

SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders
by: Yu, Zhuohao, et al.
Published: (2025)

Safety Reasoning with Guidelines
by: Wang, Haoyu, et al.
Published: (2025)