:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cheng, Liang, LI, Tianyi, Wang, Zhaowei, Steedman, Mark
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2505.20097
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLMs are Frequency Pattern Learners in Natural Language Inference
by: Cheng, Liang, et al.
Published: (2025)

Neutralizing Bias in LLM Reasoning using Entailment Graphs
by: Cheng, Liang, et al.
Published: (2025)

Explicit Inductive Inference using Large Language Models
by: Liu, Tianyang, et al.
Published: (2024)

Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction
by: Han, Kaiqiao, et al.
Published: (2024)

Modelling Child Learning and Parsing of Long-range Syntactic Dependencies
by: Mahon, Louis, et al.
Published: (2025)

Efficient Seq2seq Coreference Resolution Using Entity Representations
by: Grenander, Matt, et al.
Published: (2025)

A Usage-centric Take on Intent Understanding in E-Commerce
by: Zhou, Wendi, et al.
Published: (2024)

Chapter Combinatory Categorial Grammar
by: Steedman, Mark
Published: (2022)

MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
by: Wang, Zhaowei, et al.
Published: (2025)

A Language-agnostic Model of Child Language Acquisition
by: Mahon, Louis, et al.
Published: (2024)

Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech
by: Szubert, Ida, et al.
Published: (2021)

Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets
by: Moghe, Nikita, et al.
Published: (2024)

ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty
by: Zong, Qing, et al.
Published: (2024)

Automated Sentiment Classification and Topic Discovery in Large-Scale Social Media Streams
by: Lu, Yiwen, et al.
Published: (2025)

CodeGraph: Enhancing Graph Reasoning of LLMs with Code
by: Cai, Qiaolong, et al.
Published: (2024)

Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs
by: Mondshine, Itai, et al.
Published: (2025)

PromptNCE: Pointwise Mutual Information Predictions Using Only LLMs and Contrastive Estimation Prompts
by: Woodrow, Juliette, et al.
Published: (2026)

LLMs Know More Than Words: A Genre Study with Syntax, Metaphor & Phonetics
by: Shi, Weiye, et al.
Published: (2025)

Meta-Task Prompting Elicits Embeddings from Large Language Models
by: Lei, Yibin, et al.
Published: (2024)

Improving Latent Reasoning in LLMs via Soft Concept Mixing
by: Wang, Kang, et al.
Published: (2025)

Can We Predict Performance of Large Models across Vision-Language Tasks?
by: Zhao, Qinyu, et al.
Published: (2024)

Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering
by: Cheng, Zifeng, et al.
Published: (2025)

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
by: Zhu, Zhaowei, et al.
Published: (2023)

One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
by: Wang, Ruochen, et al.
Published: (2024)

Fingerprinting LLMs via Prompt Injection
by: Hu, Yuepeng, et al.
Published: (2025)

PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models
by: Zhao, Chenzhuo, et al.
Published: (2025)

DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers
by: Li, Xirui, et al.
Published: (2024)

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning
by: Wu, Muling, et al.
Published: (2025)

Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications
by: Wang, Junlin, et al.
Published: (2024)

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs
by: Gong, Xuan, et al.
Published: (2025)

Prompting and Fine-Tuning of Small LLMs for Length-Controllable Telephone Call Summarization
by: Thulke, David, et al.
Published: (2024)

Credence Calibration Game? Calibrating Large Language Models through Structured Play
by: Fang, Ke, et al.
Published: (2025)

Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation
by: Gu, Jia, et al.
Published: (2024)

Monotonic Paraphrasing Improves Generalization of Language Model Prompting
by: Liu, Qin, et al.
Published: (2024)

Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning
by: Cobbina, Kwesi, et al.
Published: (2025)

Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
by: Qiu, Tianyi Alex, et al.
Published: (2026)

Research on Predicting Public Opinion Event Heat Levels Based on Large Language Models
by: Ren, Yi, et al.
Published: (2024)

FairPy: A Toolkit for Evaluation of Prediction Biases and their Mitigation in Large Language Models
by: Viswanath, Hrishikesh, et al.
Published: (2023)

Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts
by: Wang, Teng, et al.
Published: (2024)

Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts
by: Seshadri, Preethi, et al.
Published: (2025)