Papers
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint
Zhipeng Chen, Kun Zhou, Wayne Xin Zhao et al.
Improving LLM-based KGQA for multi-hop Question Answering with implicit reasoning in few-shot examples
Mili Shah, Joyce Cahoon, Mirco Milletari et al.
Improving LLM Generations via Fine-Grained Self-Endorsement
Ante Wang, Linfeng Song, Baolin Peng et al.
Improving Low-Resource Machine Translation for Formosan Languages Using Bilingual Lexical Resources
Francis Zheng, Edison Marrese-Taylor, Yutaka Matsuo
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding
Jiali Zeng, Fandong Meng, Yongjing Yin et al.
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning
Jeonghoon Kim, Heesoo Jung, Hyeju Jang et al.
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features
Mengyu Bu, Shuhao Gu, Yang Feng
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
Zhuo Chen, Xinyu Wang, Yong Jiang et al.
Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text
Seiji Shimizu, Shuntaro Yada, Lisa Raithel et al.
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
Soma Sato, Hayato Tsukagoshi, Ryohei Sasano et al.
Improving Text Embeddings with Large Language Models
Liang Wang, Nan Yang, Xiaolong Huang et al.
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning
Shuzheng Si, Helan Hu, Haozhe Zhao et al.
Improving Vision-Language Cross-Lingual Transfer with Scheduled Unfreezing
Max Reinhardt, Gregor Geigle, Radu Timofte et al.
Improving Word Usage Graphs with Edge Induction
Bill Noble, Francesco Periti, Nina Tahmasebi
IMS_medicALY at #SMM4H 2024: Detecting Impacts of Outdoor Spaces on Social Anxiety with Data Augmented Ensembling
Amelie Wuehrl, Lynn Greschner, Yarik Menchaca Resendiz et al.
InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews
Xintao Wang, Yunze Xiao, Jen-tse Huang et al.
In-context Mixing (ICM): Code-mixed Prompts for Multilingual LLMs
Bhavani Shankar, Preethi Jyothi, Pushpak Bhattacharyya
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
Matteo Merler, Katsiaryna Haitsiukevich, Nicola Dainese et al.
Incorporating Syntax and Lexical Knowledge to Multilingual Sentiment Classification on Large Language Models
Hiroshi Kanayama, Yang Zhao, Ran Iwamoto et al.
Incremental pre-training from smaller language models
Han Zhang, Hui Wang, Ruifeng Xu
Incremental Sequence Labeling: A Tale of Two Shifts
Shengjie Qiu, Junhao Zheng, Zhen Liu et al.
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages
Harman Singh, Nitish Gupta, Shikhar Bharadwaj et al.
IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages
Saiful Haq, Ashutosh Sharma, Omar Khattab et al.
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages
Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar et al.