:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yue, Xihang, Zhu, Linchao, Yang, Yi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2406.03092
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space
by: Yue, Xihang, et al.
Published: (2024)

DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving
by: Yue, Xihang, et al.
Published: (2024)

Protecting Copyrighted Material with Unique Identifiers in Large Language Model Training
by: Zhao, Shuai, et al.
Published: (2024)

AntEval: Evaluation of Social Interaction Competencies in LLM-Driven Agents
by: Liang, Yuanzhi, et al.
Published: (2024)

Learning from Reference Answers: Versatile Language Model Alignment without Binary Human Preference Data
by: Zhao, Shuai, et al.
Published: (2025)

Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
by: Zhou, Yue, et al.
Published: (2024)

Bounded Path Context: A Controlled Study of Visible Path History in LLM-Based Knowledge Graph Question Answering
by: Shan, Xihang, et al.
Published: (2026)

LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases
by: Cai, Yida, et al.
Published: (2025)

EconNLI: Evaluating Large Language Models on Economics Reasoning
by: Guo, Yue, et al.
Published: (2024)

Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks
by: Zhou, Yue, et al.
Published: (2024)

A RelEntLess Benchmark for Modelling Graded Relations between Named Entities
by: Ushio, Asahi, et al.
Published: (2023)

Rel: A Programming Language for Relational Data
by: Aref, Molham, et al.
Published: (2025)

Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models
by: Miao, Ziqi, et al.
Published: (2025)

PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models
by: Kim, HyunJin, et al.
Published: (2023)

Structured Memory Mechanisms for Stable Context Representation in Large Language Models
by: Xing, Yue, et al.
Published: (2025)

Personality Alignment of Large Language Models
by: Zhu, Minjun, et al.
Published: (2024)

Model Editing with Graph-Based External Memory
by: Atri, Yash Kumar, et al.
Published: (2025)

Cognitive Memory in Large Language Models
by: Shan, Lianlei, et al.
Published: (2025)

SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages
by: Ousidhoum, Nedjma, et al.
Published: (2024)

Thrust: Adaptively Propels Large Language Models with External Knowledge
by: Zhao, Xinran, et al.
Published: (2023)

Exploiting Primacy Effect To Improve Large Language Models
by: Raimondi, Bianca, et al.
Published: (2025)

Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models
by: Li, Jiahui, et al.
Published: (2024)

Evalet: Evaluating Large Language Models through Functional Fragmentation
by: Kim, Tae Soo, et al.
Published: (2025)

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?
by: Yang, Sohee, et al.
Published: (2024)

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
by: Zhang, Shuo, et al.
Published: (2023)

Pre-training Limited Memory Language Models with Internal and External Knowledge
by: Zhao, Linxi, et al.
Published: (2025)

Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
by: Xiao, Wenyi, et al.
Published: (2024)

A Stepwise-Enhanced Reasoning Framework for Large Language Models Based on External Subgraph Generation
by: Zhang, Xin, et al.
Published: (2025)

LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation
by: Sun, Yang, et al.
Published: (2025)

Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries
by: Wu, Jiageng, et al.
Published: (2023)

LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering
by: Zhu, Yuanjie, et al.
Published: (2025)

Progressive Document-level Text Simplification via Large Language Models
by: Fang, Dengzhao, et al.
Published: (2025)

Schrodinger's Memory: Large Language Models
by: Wang, Wei, et al.
Published: (2024)

Disentangling Memory and Reasoning Ability in Large Language Models
by: Jin, Mingyu, et al.
Published: (2024)

Identifying Multiple Personalities in Large Language Models with External Evaluation
by: Song, Xiaoyang, et al.
Published: (2024)

Solving Situation Puzzles with Large Language Model and External Reformulation
by: Li, Kun, et al.
Published: (2025)

Focusing on Language: Revealing and Exploiting Language Attention Heads in Multilingual Large Language Models
by: Liu, Xin, et al.
Published: (2025)

GAUSS: Benchmarking Structured Mathematical Skills for Large Language Models
by: Zhang, Yue, et al.
Published: (2025)

Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents
by: Yu, Yi, et al.
Published: (2026)

Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch
by: Zhao, Jinman, et al.
Published: (2024)