:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Manson, Rob
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2507.21107
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Large Language Models Act as Symbolic Reasoners?
by: Sullivan, Rob, et al.
Published: (2024)

Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
by: Zhao, Stephen, et al.
Published: (2025)

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
by: Zhao, Stephen, et al.
Published: (2024)

Measuring Representation Robustness in Large Language Models for Geometry
by: Jawandhia, Vedant, et al.
Published: (2026)

Do Large Language Models Possess Sensitive to Sentiment?
by: Liu, Yang, et al.
Published: (2024)

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models
by: Ormerod, Christopher
Published: (2026)

Residual Context Diffusion Language Models
by: Hu, Yuezhou, et al.
Published: (2026)

Mechanistic Interpretability of Emotion Inference in Large Language Models
by: Tak, Ala N., et al.
Published: (2025)

A Survey on Efficient Inference for Large Language Models
by: Zhou, Zixuan, et al.
Published: (2024)

Causal Inference with Large Language Model: A Survey
by: Ma, Jing
Published: (2024)

ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
by: Guo, Wenbin, et al.
Published: (2025)

Residual Stream Duality in Modern Transformer Architectures
by: Zhang, Yifan
Published: (2026)

Benchmarking Prompt Sensitivity in Large Language Models
by: Razavi, Amirhossein, et al.
Published: (2025)

Dynamic Compressing Prompts for Efficient Inference of Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)

Large Language Models and Causal Inference in Collaboration: A Survey
by: Liu, Xiaoyu, et al.
Published: (2024)

Interpretable Differential Diagnosis with Dual-Inference Large Language Models
by: Zhou, Shuang, et al.
Published: (2024)

Plato: Plan to Efficiently Decode for Large Language Model Inference
by: Jin, Shuowei, et al.
Published: (2024)

Latent Phase-Shift Rollback: Inference-Time Error Correction via Residual Stream Monitoring and KV-Cache Steering
by: Gupta, Manan, et al.
Published: (2026)

Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)

Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models
by: Wei, Sheng-Lun, et al.
Published: (2024)

One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models
by: Shao, Hang, et al.
Published: (2023)

The Geometry of Categorical and Hierarchical Concepts in Large Language Models
by: Park, Kiho, et al.
Published: (2024)

The Linear Representation Hypothesis and the Geometry of Large Language Models
by: Park, Kiho, et al.
Published: (2023)

STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions
by: Morabito, Robert, et al.
Published: (2024)

Are Large Language Models Sensitive to the Motives Behind Communication?
by: Wu, Addison J., et al.
Published: (2025)

Large Language Models for Automatic Detection of Sensitive Topics
by: Wen, Ruoyu, et al.
Published: (2024)

Human-Alignment and Calibration of Inference-Time Uncertainty in Large Language Models
by: Moore, Kyle, et al.
Published: (2025)

Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models
by: Chen, Yushuo, et al.
Published: (2024)

Self-Selected Attention Span for Accelerating Large Language Model Inference
by: Jin, Tian, et al.
Published: (2024)

LiveMind: Low-latency Large Language Models with Simultaneous Inference
by: Chen, Chuangtao, et al.
Published: (2024)

Efficient Streaming Language Models with Attention Sinks
by: Xiao, Guangxuan, et al.
Published: (2023)

The Information of Large Language Model Geometry
by: Tan, Zhiquan, et al.
Published: (2024)

The Geometry of Harmful Intent: Training-Free Anomaly Detection via Angular Deviation in LLM Residual Streams
by: Llorente-Saguer, Isaac
Published: (2026)

R2Q: Towards Robust 2-Bit Large Language Models via Residual Refinement Quantization
by: Chen, Jiayi, et al.
Published: (2025)

Hierarchical Orthogonal Residual Spread for Precise Massive Editing in Large Language Models
by: Gu, Xiaojie, et al.
Published: (2026)

Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models
by: Banerjee, Somnath, et al.
Published: (2024)

StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
by: Wang, Haibo, et al.
Published: (2025)

Hey, That's My Data! Token-Only Dataset Inference in Large Language Models
by: Xiong, Chen, et al.
Published: (2025)

Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models
by: Mahmud, Saaduddin, et al.
Published: (2025)

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models
by: Xu, Ningyu, et al.
Published: (2026)