:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chai, Mengdi, Zomorrodi, Ali R.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2512.22966
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Precision game engineering through reshaping strategic payoffs
by: Eshoa, Elie, et al.
Published: (2024)

Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering
by: Li, Yangyi, et al.
Published: (2025)

Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
by: Zou, Anni, et al.
Published: (2023)

Question: How do Large Language Models perform on the Question Answering tasks? Answer:
by: Fischer, Kevin, et al.
Published: (2024)

The effect of diversity on group decision-making
by: Karadzhov, Georgi, et al.
Published: (2024)

WenyanGPT: A Large Language Model for Classical Chinese Tasks
by: Yao, Xinyu, et al.
Published: (2025)

Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks
by: Lau, Gregory Kang Ruey, et al.
Published: (2024)

OMGs: A multi-agent system supporting MDT decision-making across the ovarian tumour care continuum
by: Zhang, Yangyang, et al.
Published: (2026)

Can human clinical rationales improve the performance and explainability of clinical text classification models?
by: Metzner, Christoph, et al.
Published: (2025)

CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding
by: Qin, Libo, et al.
Published: (2024)

DSBC : Data Science task Benchmarking with Context engineering
by: Kadiyala, Ram Mohan Rao, et al.
Published: (2025)

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
by: Wang, Yinjie, et al.
Published: (2025)

Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data?
by: Qi, Xuan, et al.
Published: (2025)

Prompt Engineering Large Language Models' Forecasting Capabilities
by: Schoenegger, Philipp, et al.
Published: (2025)

Biological Sequence with Language Model Prompting: A Survey
by: Jiang, Jiyue, et al.
Published: (2025)

Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
by: Wang, Jianing, et al.
Published: (2025)

Deep Prompt Multi-task Network for Abuse Language Detection
by: Zhu, Jian, et al.
Published: (2024)

Where does In-context Translation Happen in Large Language Models
by: Sia, Suzanna, et al.
Published: (2024)

Understanding the Repeat Curse in Large Language Models from a Feature Perspective
by: Yao, Junchi, et al.
Published: (2025)

ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large Language Model
by: Gu, Shuhao, et al.
Published: (2024)

FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution
by: Raiyan, Syed Rifat, et al.
Published: (2025)

Deploying Multi-task Online Server with Large Language Model
by: Qu, Yincen, et al.
Published: (2024)

PromptExp: Multi-granularity Prompt Explanation of Large Language Models
by: Dong, Ximing, et al.
Published: (2024)

Musketeer: Joint Training for Multi-task Vision Language Model with Task Explanation Prompts
by: Zhang, Zhaoyang, et al.
Published: (2023)

Enhancing Cross-task Transfer of Large Language Models via Activation Steering
by: Tang, Xinyu, et al.
Published: (2025)

How does Misinformation Affect Large Language Model Behaviors and Preferences?
by: Peng, Miao, et al.
Published: (2025)

Examining the Robustness of Large Language Models across Language Complexity
by: Zhang, Jiayi
Published: (2025)

Gender Bias in Large Language Models across Multiple Languages
by: Zhao, Jinman, et al.
Published: (2024)

Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models
by: Teng, Shiyu, et al.
Published: (2025)

S2LPP: Small-to-Large Prompt Prediction across LLMs
by: Cheng, Liang, et al.
Published: (2025)

Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
by: Yang, Yukang, et al.
Published: (2025)

Tokenization Falling Short: On Subword Robustness in Large Language Models
by: Chai, Yekun, et al.
Published: (2024)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)

Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation
by: Li, Tong, et al.
Published: (2025)

Large Language Model as a Universal Clinical Multi-task Decoder
by: Wu, Yujiang, et al.
Published: (2024)

McBE: A Multi-task Chinese Bias Evaluation Benchmark for Large Language Models
by: Lan, Tian, et al.
Published: (2025)

RLAR: An Agentic Reward System for Multi-task Reinforcement Learning on Large Language Models
by: Feng, Andrew Zhuoer, et al.
Published: (2026)

Rethinking Prompt-based Debiasing in Large Language Models
by: Yang, Xinyi, et al.
Published: (2025)

Prompt Compression for Large Language Models: A Survey
by: Li, Zongqian, et al.
Published: (2024)

Active Prompting with Chain-of-Thought for Large Language Models
by: Diao, Shizhe, et al.
Published: (2023)