Papers
Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy
Brian Thompson, Nitika Mathur, Daniel Deutsch et al.
I’m sure you’re a real scholar yourself: Exploring Ironic Content Generation by Large Language Models
Pier Felice Balestrucci, Silvia Casola, Soda Marem Lo et al.
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models
Ayrton San Joaquin, Bin Wang, Zhengyuan Liu et al.
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation
Zhiyu Cao, Peifeng Li, Yaxin Fan et al.
In-Context Compositional Generalization for Large Vision-Language Models
Chuanhao Li, Chenchen Jing, Zhen Li et al.
In-context Contrastive Learning for Event Causality Identification
Liang Chao, Wei Xiang, Bang Wang
In-Context Former: Lightning-fast Compressing Context for Large Language Model
Xiangfeng Wang, Zaiyi Chen, Tong Xu et al.
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models
Pengrui Han, Peiyang Song, Haofei Yu et al.
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin, Aston Zhang, Chen Chen et al.
Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases
Santosh T.y.s.s, Mohamed Hesham Elganayni, Stanisław Sójka et al.
Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference for Cost-Effective Cultural Heritage Dataset Generation
William Thorne, Ambrose Robinson, Bohua Peng et al.
Incubating Text Classifiers Following User Instruction with Nothing but LLM
Letian Peng, Zilong Wang, Jingbo Shang
In Defense of Structural Sparse Adapters for Concurrent LLM Serving
Junda Su, Zirui Liu, Zeju Qiu et al.
“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning
Chuanqi Cheng, Quan Tu, Wei Wu et al.
Individuation in Neural Models with and without Visual Grounding
Alexey Tikhonov, Lisa Bylinina, Ivan P. Yamshchikov
IndoCL: Benchmarking Indonesian Language Development Assessment
Nankai Lin, Hongyan Wu, Weixiong Zheng et al.
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
Jiao Ou, Jiayu Wu, Che Liu et al.
Induct-Learn: Short Phrase Prompting with Instruction Induction
Po-Chun Chen, Sheng-Lun Wei, Hen-Hsen Huang et al.
INDUS: Effective and Efficient Language Models for Scientific Applications
Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka et al.
I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation
Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu et al.
”I Never Said That”: A dataset, taxonomy and baselines on response clarity classification
Konstantinos Thomas, Giorgos Filandrianos, Maria Lymperaiou et al.
InFact: A Strong Baseline for Automated Fact-Checking
Mark Rothermel, Tobias Braun, Marcus Rohrbach et al.
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance
Pengyu Wang, Dong Zhang, Linyang Li et al.
Inference and Verbalization Functions During In-Context Learning
Junyi Tao, Xiaoyin Chen, Nelson F. Liu
Inference Helps PLMs’ Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs
Juncai Li, Ru Li, Xiaoli Li et al.