Papers
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks
Xinyue Liu, Yunlong Gao, Linlin Zong et al.
Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation
Chengwei Dai, Kun Li, Wei Zhou et al.
Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design
Rishika Bhagwatkar, Shravan Nayak, Pouya Bashivan et al.
Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models
Roxanne El Baff, Khalid Al Khatib, Milad Alshomary et al.
Improving Context Usage for Translating Bilingual Customer Support Chat with Large Language Models
Jose Pombal, Sweta Agrawal, André Martins
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Dingzirui Wang, Longxu Dou, Xuanliang Zhang et al.
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
Lu Chen, Rui Zheng, Binghai Wang et al.
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
Tianhui Zhang, Bei Peng, Danushka Bollegala
Improving Evidence Retrieval on Claim Verification Pipeline through Question Enrichment
Svetlana Churina, Anab Maulana Barik, Saisamarth Rajesh Phaye
Improving Explainable Fact-Checking via Sentence-Level Factual Reasoning
Francielle Vargas, Isadora Salles, Diego Alves et al.
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization
Huawen Feng, Yan Fan, Xiong Liu et al.
Improving Hierarchical Text Clustering with LLM-guided Multi-view Cluster Representation
Anup Pattnaik, Cijo George, Rishabh Kumar Tripathi et al.
Improving Industrial Safety by Auto-Generating Case-specific Preventive Recommendations
Sangameshwar Patil, Sumit Koundanya, Shubham Kumbhar et al.
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning
Jiashi Lin, Lifang Wang, Xinyu Lu et al.
Improving Latin Dependency Parsing by Combining Treebanks and Predictions
Hanna-Mari Kristiina Kupari, Erik Henriksson, Veronika Laippala et al.
Improving LLM Attributions with Randomized Path-Integration
Oren Barkan, Yehonatan Elisha, Yonatan Toib et al.
Improving Minimum Bayes Risk Decoding with Multi-Prompt
David Heineman, Yao Dou, Wei Xu
Improving Multi-Agent Debate with Sparse Communication Topology
Yunxuan Li, Yibing Du, Jiageng Zhang et al.
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets
Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt et al.
Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence
Yaxin Fan, Peifeng Li, Qiaoming Zhu
Improving Quotation Attribution with Fictional Character Embeddings
Gaspard Michel, Elena V. Epure, Romain Hennequin et al.
Improving Referring Ability for Biomedical Language Models
Junfeng Jiang, Fei Cheng, Akiko Aizawa
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals
Akash Kumar Mohankumar, Gururaj K, Gagan Madan et al.
Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach
Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux