:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kou, Siqi, Hu, Lanxiang, He, Zhezhi, Deng, Zhijie, Zhang, Hao
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2403.00835
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Speculative Decoding
by: Liu, Xiaoxuan, et al.
Published: (2023)

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs
by: Hu, Lanxiang, et al.
Published: (2024)

MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
by: Lin, Bokai, et al.
Published: (2024)

Fast and Accurate Causal Parallel Decoding using Jacobi Forcing
by: Hu, Lanxiang, et al.
Published: (2025)

Thinking with Generated Images
by: Chern, Ethan, et al.
Published: (2025)

Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models
by: Chen, Zijun, et al.
Published: (2024)

OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
by: Zheng, Hao, et al.
Published: (2025)

Document Intelligence in the Era of Large Language Models: A Survey
by: Wang, Weishi, et al.
Published: (2025)

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
by: He, Zhiwei, et al.
Published: (2024)

GameArena: Evaluating LLM Reasoning through Live Computer Games
by: Hu, Lanxiang, et al.
Published: (2024)

Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model
by: Miao, Yibo, et al.
Published: (2023)

CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control
by: Yuan, Zirui, et al.
Published: (2025)

Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
by: Kou, Siqi, et al.
Published: (2024)

Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models
by: Wang, Pei, et al.
Published: (2024)

DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
by: Cui, Wendi, et al.
Published: (2024)

Cross-Modal Consistency in Multimodal Large Language Models
by: Zhang, Xiang, et al.
Published: (2024)

InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language Model
by: Ouyang, Siqi, et al.
Published: (2025)

Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
by: Jia, Boyu, et al.
Published: (2025)

Evaluating Consistency and Reasoning Capabilities of Large Language Models
by: Saxena, Yash, et al.
Published: (2024)

Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models
by: Liao, Haoran, et al.
Published: (2024)

Are Large Language Models Consistent over Value-laden Questions?
by: Moore, Jared, et al.
Published: (2024)

SaGE: Evaluating Moral Consistency in Large Language Models
by: Bonagiri, Vamshi Krishna, et al.
Published: (2024)

Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency
by: Li, Taiji, et al.
Published: (2024)

Semantic Consistency for Assuring Reliability of Large Language Models
by: Raj, Harsh, et al.
Published: (2023)

DeepJSONEval: Benchmarking Complex Nested JSON Data Mining for Large Language Models
by: Zhou, Zhicheng, et al.
Published: (2025)

When Text Embedding Meets Large Language Model: A Comprehensive Survey
by: Nie, Zhijie, et al.
Published: (2024)

Methodology of Adapting Large English Language Models for Specific Cultural Contexts
by: Zhang, Wenjing, et al.
Published: (2024)

Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
by: Kim, Jongho, et al.
Published: (2025)

The Moral Consistency Pipeline: Continuous Ethical Evaluation for Large Language Models
by: Jamshidi, Saeid, et al.
Published: (2025)

Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations
by: Villa, Danielle, et al.
Published: (2025)

Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions
by: Li, Yubo, et al.
Published: (2025)

Fact-Checking with Large Language Models via Probabilistic Certainty and Consistency
by: Wang, Haoran, et al.
Published: (2026)

How Large Language Models Need Symbolism
by: Deng, Xiaotie, et al.
Published: (2025)

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
by: Li, Yitian, et al.
Published: (2024)

On the Worst Prompt Performance of Large Language Models
by: Cao, Bowen, et al.
Published: (2024)

Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models
by: Zhao, Juntu, et al.
Published: (2024)

Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors
by: Syed, Usman, et al.
Published: (2024)

Large Language Models Are Neurosymbolic Reasoners
by: Fang, Meng, et al.
Published: (2024)

Semantic Layered Embedding Diffusion in Large Language Models for Multi-Contextual Consistency
by: Kabakum, Irin, et al.
Published: (2025)

Collaborative Stance Detection via Small-Large Language Model Consistency Verification
by: Yan, Yu, et al.
Published: (2025)