Papers
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages
Tahir Javed, Janki Nawale, Eldho George et al.
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
Yichen Jiang, Xiang Zhou, Mohit Bansal
Industry vs Academia: Running a Course on Transformers in Two Setups
Irina Nikishina, Maria Tikhonova, Viktoriia Chekalina et al.
Inference to the Best Explanation in Large Language Models
Dhairya Dalal, Marco Valentino, Andre Freitas et al.
InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model
Haogeng Liu, Quanzeng You, Yiqi Wang et al.
InFoBench: Evaluating Instruction Following Ability in Large Language Models
Yiwei Qin, Kaiqiang Song, Yebowen Hu et al.
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification
Jan Trienes, Sebastian Joseph, Jörg Schlötterer et al.
Informing climate risk analysis using textual information - A research agenda
Andreas Dimmelmeier, Hendrik Doll, Malte Schierholz et al.
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
Qiusi Zhan, Zhixiang Liang, Zifan Ying et al.
Injecting Salesperson’s Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning
Wen Chang, Yun-Nung Chen
Insert or Attach: Taxonomy Completion via Box Embedding
Wei Xue, Yongliang Shen, Wenqi Ren et al.
Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance
Saurabh Srivastava, Chengyue Huang, Weiguo Fan et al.
InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models
Juseon-Do, Jingun Kwon, Hidetaka Kamigaito et al.
InstructCoder: Instruction Tuning Large Language Models for Code Editing
Kaixin Li, Qisheng Hu, James Xu Zhao et al.
InstructEd: Soft-Instruction Tuning for Model Editing with Hops
XiaoQi Han, Ru Li, Xiaoli Li et al.
InstructEval: Instruction-Tuned Text Evaluator from Human Preference
Wenhao Wu, Wei Li, Xinyan Xiao et al.
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
Jianing Wang, Junda Wu, Yupeng Hou et al.
Instruction Fusion: Advancing Prompt Evolution through Hybridization
Weidong Guo, Jiuding Yang, Kaitong Yang et al.
Instruction Position Matters in Sequence Generation with Large Language Models
Yijin Liu, Xianfeng Zeng, Chenze Shao et al.
Instruction-tuned Language Models are Better Knowledge Learners
Zhengbao Jiang, Zhiqing Sun, Weijia Shi et al.
Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis
Guangmin Zheng, Jin Wang, Liang-Chih Yu et al.
Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue
Jian Wang, Chak Tou Leong, Jiashuo Wang et al.
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
Zeyuan Wang, Qiang Zhang, Keyan Ding et al.
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
Ruikang Liu, Haoli Bai, Haokun Lin et al.
Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation
Xinglin Wang, Yiwei Li, Shaoxiong Feng et al.