:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Guan, Bryan, Roosta, Tanya, Passban, Peyman, Rezagholizadeh, Mehdi
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2502.04134
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions
by: Kharchenko, Julia, et al.
Published: (2024)

Towards Practical Tool Usage for Continually Learning LLMs
by: Huang, Jerry, et al.
Published: (2024)

Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
by: Huang, Jerry, et al.
Published: (2024)

How Order-Sensitive Are LLMs? OrderProbe for Deterministic Structural Reconstruction
by: He, Yingjie, et al.
Published: (2026)

I Think, Therefore I Am Under-Qualified? A Benchmark for Evaluating Linguistic Shibboleth Detection in LLM Hiring Evaluations
by: Kharchenko, Julia, et al.
Published: (2025)

Batch-Max: Higher LLM Throughput using Larger Batch Sizes and KV Cache Compression
by: Metel, Michael R., et al.
Published: (2024)

Synthetic Users, Real Differences: an Evaluation Framework for User Simulation in Multi-Turn Conversations
by: Liu, Yu Lu, et al.
Published: (2026)

On the importance of Data Scale in Pretraining Arabic Language Models
by: Ghaddar, Abbas, et al.
Published: (2024)

ReGLA: Refining Gated Linear Attention
by: Lu, Peng, et al.
Published: (2025)

X-EcoMLA: Upcycling Pre-Trained Attention into MLA for Efficient and Extreme KV Compression
by: Li, Guihong, et al.
Published: (2025)

Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity
by: Metel, Michael R., et al.
Published: (2024)

Zebra-Llama: Towards Extremely Efficient Hybrid Models
by: Yang, Mingyu, et al.
Published: (2025)

Resonance RoPE: Improving Context Length Generalization of Large Language Models
by: Wang, Suyuchen, et al.
Published: (2024)

LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization
by: Lu, Peng, et al.
Published: (2023)

iAgentBench: Benchmarking Sensemaking Capabilities of Information-Seeking Agents on High-Traffic Topics
by: Dammu, Preetam Prabhu Srikar, et al.
Published: (2026)

On the Sensitivity of Instruction-tuned LLMs to Harmful Sentences in Long Inputs
by: Ghorbanpour, Faeze, et al.
Published: (2025)

Input Order Shapes LLM Semantic Alignment in Multi-Document Summarization
by: Ma, Jing
Published: (2025)

Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs
by: Muppidi, Ananth, et al.
Published: (2025)

Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-Models
by: Xie, Zikai
Published: (2024)

OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection
by: Huang, Chenyang, et al.
Published: (2024)

CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems
by: Ghaddar, Abbas, et al.
Published: (2024)

Order Matters: Rethinking Prompt Construction in In-Context Learning
by: Li, Warren, et al.
Published: (2025)

RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users
by: Ye, Suyu, et al.
Published: (2025)

Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models
by: Wang, Xindi, et al.
Published: (2024)

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference
by: Kavehzadeh, Parsa, et al.
Published: (2023)

Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
by: He, Qianxi, et al.
Published: (2025)

RoToR: Towards More Reliable Responses for Order-Invariant Inputs
by: Yoon, Soyoung, et al.
Published: (2025)

ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs
by: Zhuo, Jingming, et al.
Published: (2024)

From 0-Order Selection to 2-Order Judgment: Combinatorial Hardening Exposes Compositional Failures in Frontier LLMs
by: Liu, Hanmeng, et al.
Published: (2026)

Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
by: Xiang, Yanzheng, et al.
Published: (2024)

Recognition Without Authorization: LLMs and the Moral Order of Online Advice
by: van Nuenen, Tom
Published: (2026)

Evaluating Prompting Strategies with MedGemma for Medical Order Extraction
by: Balachandran, Abhinand, et al.
Published: (2025)

S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models
by: Kavehzadeh, Parsa, et al.
Published: (2024)

Higher-Order Asynchronous Effects
by: Ahman, Danel, et al.
Published: (2023)

ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs
by: Dammu, Preetam Prabhu Srikar, et al.
Published: (2024)

When Domains Interact: Asymmetric and Order-Sensitive Cross-Domain Effects in Reinforcement Learning for Reasoning
by: Yang, Wang, et al.
Published: (2026)

CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search
by: Mo, Fengran, et al.
Published: (2024)

Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts
by: Ying, Jiahao, et al.
Published: (2023)

Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement
by: Zhan, Pengwei, et al.
Published: (2024)

Hearing the Order: Investigating Position Bias in Large Audio-Language Models
by: Lin, Yu-Xiang, et al.
Published: (2025)