:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Wentong, Lin, Yankai, Zhou, ZhenHao, Huang, HongYun, Jia, Yantao, Cao, Zhao, Wen, Ji-Rong
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2406.14955
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Distilling Rule-based Knowledge into Large Language Models
by: Yang, Wenkai, et al.
Published: (2023)

DeepCritic: Deliberate Critique with Large Language Models
by: Yang, Wenkai, et al.
Published: (2025)

Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models
by: Chen, Zhipeng, et al.
Published: (2024)

Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning
by: Chen, Zhipeng, et al.
Published: (2026)

ALICE: A Multifaceted Evaluation Framework of Large Audio-Language Models' In-Context Learning Ability
by: Piao, Yen-Ting, et al.
Published: (2026)

Large Language Diffusion Models
by: Nie, Shen, et al.
Published: (2025)

Large Language Model-based Human-Agent Collaboration for Complex Task Solving
by: Feng, Xueyang, et al.
Published: (2024)

Exploring Context Window of Large Language Models via Decomposed Positional Vectors
by: Dong, Zican, et al.
Published: (2024)

Are Emergent Abilities in Large Language Models just In-Context Learning?
by: Lu, Sheng, et al.
Published: (2023)

TopoPerception: A Shortcut-Free Evaluation of Global Visual Perception in Large Vision-Language Models
by: Zhou, Wenhao, et al.
Published: (2025)

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
by: Yang, Xiao-Wen, et al.
Published: (2025)

Predicting Emergent Abilities with Infinite Resolution Evaluation
by: Hu, Shengding, et al.
Published: (2023)

Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models
by: Zhan, Xiaoyu, et al.
Published: (2025)

A Survey on Large Language Model based Autonomous Agents
by: Wang, Lei, et al.
Published: (2023)

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
by: Wang, Xiaolei, et al.
Published: (2023)

Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
by: Zhou, Yuxuan, et al.
Published: (2025)

LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
by: Zhu, Fengqi, et al.
Published: (2025)

Evaluating the Ability of Large Language Models to Generate Verifiable Specifications in VeriFast
by: Fan, Wen, et al.
Published: (2024)

User Behavior Simulation with Large Language Model based Agents
by: Wang, Lei, et al.
Published: (2023)

Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
by: Gu, Jia-Chen, et al.
Published: (2024)

Representation Learning for Natural Language Processing
by: Liu, Zhiyuan, et al.
Published: (2020)

Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
by: Wang, Xiaolei, et al.
Published: (2024)

One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
by: Zhu, Yutao, et al.
Published: (2024)

BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models
by: Dong, Zican, et al.
Published: (2023)

Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
by: Li, Jiahuan, et al.
Published: (2023)

Adaptive Principal Components Allocation with the $\ell_{2,g}$-regularized Gaussian Graphical Model for Efficient Fine-Tuning Large Models
by: Zheng, Jingjing, et al.
Published: (2024)

NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models
by: Han, Han, et al.
Published: (2024)

Neuron-based Personality Trait Induction in Large Language Models
by: Deng, Jia, et al.
Published: (2024)

DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
by: Tang, Xinyu, et al.
Published: (2024)

AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models
by: Zhu, Qin, et al.
Published: (2025)

Regulatory DNA sequence Design with Reinforcement Learning
by: Yang, Zhao, et al.
Published: (2025)

FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
by: Liu, Shu, et al.
Published: (2024)

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models
by: Li, Lingyao, et al.
Published: (2025)

CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance
by: Hao, Yupu, et al.
Published: (2024)

Disentangling Language and Culture for Evaluating Multilingual Large Language Models
by: Ying, Jiahao, et al.
Published: (2025)

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
by: Wang, Jingyuan, et al.
Published: (2025)

The Role of Diversity in In-Context Learning for Large Language Models
by: Xiao, Wenyang, et al.
Published: (2025)

Counting Ability of Large Language Models and Impact of Tokenization
by: Zhang, Xiang, et al.
Published: (2024)

Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models
by: Li, Yifan, et al.
Published: (2024)

Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment
by: Chen, Zhipeng, et al.
Published: (2024)