:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	He, Xingwei, Zhang, Qianru, Chen, Pengfei, Chen, Guanhua, Yu, Linlin, Yuan, Yuan, Yiu, Siu-Ming
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2511.14342
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions
by: He, Xingwei, et al.
Published: (2024)

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
by: He, Xingwei, et al.
Published: (2023)

Enhancing Few-Shot Stock Trend Prediction with Large Language Models
by: Deng, Yiqi, et al.
Published: (2024)

TAG-INSTRUCT: Controlled Instruction Complexity Enhancement through Structure-based Augmentation
by: Zhu, He, et al.
Published: (2025)

LexInstructEval: Lexical Instruction Following Evaluation for Large Language Models
by: Ren, Huimin, et al.
Published: (2025)

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
by: Zhang, Qianru, et al.
Published: (2024)

InstructCoder: Instruction Tuning Large Language Models for Code Editing
by: Li, Kaixin, et al.
Published: (2023)

Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction
by: Liu, Liping, et al.
Published: (2025)

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models
by: Guo, Dongxin, et al.
Published: (2026)

InstructEdit: Instruction-based Knowledge Editing for Large Language Models
by: Zhang, Ningyu, et al.
Published: (2024)

BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
by: Tran, Hieu, et al.
Published: (2023)

Instruct Large Language Models to Drive like Humans
by: Zhang, Ruijun, et al.
Published: (2024)

ECon: On the Detection and Resolution of Evidence Conflicts
by: Jiayang, Cheng, et al.
Published: (2024)

Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models
by: Luo, Xianzhen, et al.
Published: (2024)

AgentEval: DAG-Structured Step-Level Evaluation for Agentic Workflows with Error Propagation Tracking
by: Guo, Dongxin, et al.
Published: (2026)

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
by: Wang, Jianing, et al.
Published: (2024)

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model
by: Yu, Hao, et al.
Published: (2025)

Model Collapse as Cultural Evolution
by: Guo, Dongxin, et al.
Published: (2026)

Evaluating Large Language Models at Evaluating Instruction Following
by: Zeng, Zhiyuan, et al.
Published: (2023)

FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification
by: Guo, Dongxin, et al.
Published: (2026)

InstructDiff: Domain-Adaptive Data Selection via Differential Entropy for Efficient LLM Fine-Tuning
by: Su, Junyou, et al.
Published: (2026)

EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
by: Ou, Yixin, et al.
Published: (2024)

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection
by: Guo, Dongxin, et al.
Published: (2026)

Billiards Sports Analytics: Datasets and Tasks
by: Zhang, Qianru, et al.
Published: (2024)

OntoURL: A Benchmark for Evaluating Large Language Models on Symbolic Ontological Understanding, Reasoning and Learning
by: Zhang, Xiao, et al.
Published: (2025)

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
by: LI, Yizhi, et al.
Published: (2024)

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
by: Hu, Yujia, et al.
Published: (2024)

Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
by: Jin, Zhuoran, et al.
Published: (2024)

Distract Large Language Models for Automatic Jailbreak Attack
by: Xiao, Zeguan, et al.
Published: (2024)

DS$^2$-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning
by: Xu, Ruiyao, et al.
Published: (2026)

LLMCRIT: Teaching Large Language Models to Use Criteria
by: Yuan, Weizhe, et al.
Published: (2024)

Local Success Does Not Compose: Benchmarking Large Language Models for Compositional Formal Verification
by: Xu, Xu, et al.
Published: (2025)

HMamba: Hyperbolic Mamba for Sequential Recommendation
by: Zhang, Qianru, et al.
Published: (2025)

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models
by: Li, Jijie, et al.
Published: (2025)

Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models
by: Sun, Wangtao, et al.
Published: (2024)

ICE-Score: Instructing Large Language Models to Evaluate Code
by: Zhuo, Terry Yue
Published: (2023)

The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary
by: Guo, Dongxin, et al.
Published: (2026)

Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models
by: Chen, Wenting, et al.
Published: (2025)

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
by: Luo, Run, et al.
Published: (2024)

R-Tuning: Instructing Large Language Models to Say `I Don't Know'
by: Zhang, Hanning, et al.
Published: (2023)