:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cui, Yiming, Zhang, Wei-Nan, Che, Wanxiang, Liu, Ting, Chen, Zhigang, Wang, Shijin
Format:	Preprint
Published:	2021
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2108.11574
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation
by: Zhang, Wei-Nan, et al.
Published: (2024)

Electronic Circuit Principles of Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)

HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalization
by: Shan, Baocai, et al.
Published: (2026)

ESAinsTOD: A Unified End-to-End Schema-Aware Instruction-Tuning Framework for Task-Oriented Dialog Modeling
by: Teng, Dechuan, et al.
Published: (2026)

M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought
by: Chen, Qiguang, et al.
Published: (2024)

Improving Language Model Reasoning with Self-motivated Learning
by: Feng, Yunlong, et al.
Published: (2024)

Evaluating Large Language Models on Multimodal Chemistry Olympiad Exams
by: Cui, Yiming, et al.
Published: (2025)

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
by: Naous, Tarek, et al.
Published: (2023)

ChartHal: A Fine-grained Framework Evaluating Hallucination of Large Vision Language Models in Chart Understanding
by: Wang, Xingqi, et al.
Published: (2025)

Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Extreme Reasoning Efficiency in Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)

MRCEval: A Comprehensive, Challenging and Accessible Machine Reading Comprehension Benchmark
by: Ma, Shengkun, et al.
Published: (2025)

Single-Pass, Depth-Selective Reading for Multi-Aspect Sentiment Analysis
by: Xia, Yan, et al.
Published: (2026)

What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration
by: Qin, Libo, et al.
Published: (2024)

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements
by: Qian, Yushan, et al.
Published: (2023)

Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
by: Chen, Hao, et al.
Published: (2026)

Fitting Is Not Enough: Smoothness in Extremely Quantized LLMs
by: Xu, Yuzhuang, et al.
Published: (2026)

A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification
by: Feng, Yunlong, et al.
Published: (2023)

Read Before You Think: Mitigating LLM Comprehension Failures with Step-by-Step Reading
by: Han, Feijiang, et al.
Published: (2025)

Improving Grammatical Error Correction via Contextual Data Augmentation
by: Wang, Yixuan, et al.
Published: (2024)

AI Security Beyond Core Domains: Resume Screening as a Case Study of Adversarial Vulnerabilities in Specialized LLM Applications
by: Mu, Honglin, et al.
Published: (2025)

Large Language Models Meet NLP: A Survey
by: Qin, Libo, et al.
Published: (2024)

ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models
by: Zhang, Yongheng, et al.
Published: (2025)

Learning the Boundary of Solvability: Aligning LLMs to Detect Unsolvable Problems
by: Peng, Dengyun, et al.
Published: (2025)

A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis
by: Zhou, Changzhi, et al.
Published: (2024)

Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation
by: Liu, Yi, et al.
Published: (2024)

What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
by: Chen, Zhi, et al.
Published: (2024)

ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models
by: Huang, Yuqing, et al.
Published: (2024)

DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension
by: Lin, Runfeng, et al.
Published: (2024)

Beyond Facts: Benchmarking Distributional Reading Comprehension in Large Language Models
by: Guo, Pei-Fu, et al.
Published: (2026)

Multilingual and Explainable Text Detoxification with Parallel Corpora
by: Dementieva, Daryna, et al.
Published: (2024)

Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo Query
by: Wang, Yixuan, et al.
Published: (2025)

Judge Q: Trainable Queries for Optimized Information Retention in KV Cache Eviction
by: Liu, Yijun, et al.
Published: (2025)

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction
by: Zhang, Wenyuan, et al.
Published: (2024)

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)

Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities
by: Zhao, Weixiang, et al.
Published: (2025)

Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension
by: Wu, Yulong, et al.
Published: (2025)

LinguaSafe: A Comprehensive Multilingual Safety Benchmark for Large Language Models
by: Ning, Zhiyuan, et al.
Published: (2025)

A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation
by: Song, Haoyu, et al.
Published: (2024)

Extensible Multi-Granularity Fusion Network and Transferable Curriculum Learning for Aspect-based Sentiment Analysis
by: Li, Xinran, et al.
Published: (2024)

Scaling Laws of Decoder-Only Models on the Multilingual Machine Translation Task
by: Caillaut, Gaëtan, et al.
Published: (2024)