Cover Image

Aligning Translation-Specific Understanding to General Understanding in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Yichong, Li, Baohang, Feng, Xiaocheng, Fu, Chengpeng, Huo, Wenshuai, Liu, Ting, Qin, Bing
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Relay Decoding: Concatenating Large Language Models for Machine Translation
by: Fu, Chengpeng, et al.
Published: (2024)

Ensuring Consistency for In-Image Translation
by: Fu, Chengpeng, et al.
Published: (2024)

Enhancing Non-English Capabilities of English-Centric Large Language Models through Deep Supervision Fine-Tuning
by: Huo, Wenshuai, et al.
Published: (2025)

Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
by: Huang, Yichong, et al.
Published: (2024)

Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation
by: Yuan, Zekun, et al.
Published: (2026)

FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
by: Li, Zijian, et al.
Published: (2025)

One for All: Update Parameterized Knowledge Across Multiple Models
by: Ma, Weitao, et al.
Published: (2025)

CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention
by: Ye, Zekai, et al.
Published: (2025)

Can Large Language Models Simulate Human Cognition Beyond Behavioral Imitation?
by: Gu, Yuxuan, et al.
Published: (2026)

Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis
by: Ma, Weitao, et al.
Published: (2024)

CultureForest: Understanding and Evaluating Cultural Norm Grounded Reasoning in LLMs
by: Ye, Yangfan, et al.
Published: (2026)

x1: Learning to Think Adaptively Across Languages and Cultures
by: Ye, Yangfan, et al.
Published: (2026)

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
by: Fan, Yuchun, et al.
Published: (2025)

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
by: Huang, Lei, et al.
Published: (2023)

Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications
by: Feng, Zhangyin, et al.
Published: (2023)

GUNDAM: Aligning Large Language Models with Graph Understanding
by: Ouyang, Sheng, et al.
Published: (2024)

Extending Context Window of Large Language Models from a Distributional Perspective
by: Wu, Yingsheng, et al.
Published: (2024)

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
by: Li, Bohan, et al.
Published: (2024)

GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
by: Zhang, Ziyin, et al.
Published: (2024)

Precise Robot Command Understanding Using Grammar-Constrained Large Language Models
by: Huo, Xinyun, et al.
Published: (2026)

Advancing Large Language Model Attribution through Self-Improving
by: Huang, Lei, et al.
Published: (2024)

Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understanding
by: Jia, Hong, et al.
Published: (2025)

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
by: Zhong, Weihong, et al.
Published: (2024)

Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering
by: Zhu, Kun, et al.
Published: (2025)

Large Language Models Understand Layout
by: Li, Weiming, et al.
Published: (2024)

Chengyu-Bench: Benchmarking Large Language Models for Chinese Idiom Understanding and Use
by: Fu, Yicheng, et al.
Published: (2025)

Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion
by: Du, Yexing, et al.
Published: (2026)

DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding
by: Zhou, Jiaming, et al.
Published: (2026)

Learning Fine-Grained Grounded Citations for Attributed Large Language Models
by: Huang, Lei, et al.
Published: (2024)

Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
by: Huang, Lei, et al.
Published: (2025)

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models
by: Li, Qiming, et al.
Published: (2025)

Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?
by: Hu, Yutong, et al.
Published: (2024)

DeepThink: Aligning Language Models with Domain-Specific User Intents
by: Li, Yang, et al.
Published: (2025)

Video Understanding with Large Language Models: A Survey
by: Tang, Yolo Y., et al.
Published: (2023)

Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
by: Liu, Shang, et al.
Published: (2024)

Understanding the Dilemma of Unlearning for Large Language Models
by: Zhang, Qingjie, et al.
Published: (2025)

Aligning Large Language Models with Implicit Preferences from User-Generated Content
by: Tan, Zhaoxuan, et al.
Published: (2025)

StringLLM: Understanding the String Processing Capability of Large Language Models
by: Wang, Xilong, et al.
Published: (2024)

CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering
by: Li, Qiming, et al.
Published: (2026)

Understanding Teacher Revisions of Large Language Model-Generated Feedback
by: Borchers, Conrad, et al.
Published: (2026)