Papers
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
Qin Zhu, Qinyuan Cheng, Runyu Peng et al.
Inference-Time Language Model Alignment via Integrated Value Guidance
Zhixuan Liu, Zhanhui Zhou, Yuanfu Wang et al.
Inferring Mental Burnout Discourse Across Reddit Communities
Nazanin Sabri, Anh C. Pham, Ishita Kakkar et al.
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs
Minsoo Kim, Kyuhong Shim, Jungwook Choi et al.
Information Extraction for Planning Court Cases
Drish Mali, Rubash Mali, Claire Barale
Information Flow Routes: Automatically Interpreting Language Models at Scale
Javier Ferrando, Elena Voita
Information Parity: Measuring and Predicting the Multilingual Capabilities of Language Models
Alexander Tsvetkov, Alon Kipnis
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models
Shixin Jiang, Zerui Chen, Jiafeng Liang et al.
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
Fali Wang, Runxue Bao, Suhang Wang et al.
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes
Kosuke Nishida, Kyosuke Nishida, Kuniko Saito
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
Huihan Li, Yuting Ning, Zeyi Liao et al.
Insights into LLM Long-Context Failures: When Transformers Know but Don’t Tell
Muhan Gao, TaiMing Lu, Kuai Yu et al.
Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization
Zhiqi Wang, Shizhu He, Kang Liu et al.
Instruction-Driven Game Engine: A Poker Case Study
Hongqiu Wu, Xingyuan Liu, Yan Wang et al.
Instruction Fine-Tuning: Does Prompt Loss Matter?
Mathew Huerta-Enochian, Seung Yong Ko
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks
Changho Lee, Janghoon Han, Seonghyeon Ye et al.
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Daixuan Cheng, Yuxian Gu, Shaohan Huang et al.
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging
Priyanka Kargupta, Ishika Agarwal, Dilek Hakkani Tur et al.
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning
Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi et al.
Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation
Sougata Saha, Rohini Srihari
Integrating INCEpTION into larger annotation processes
Richard Eckart De Castilho, Jan-Christoph Klie, Iryna Gurevych
Integrating Plutchik’s Theory with Mixture of Experts for Enhancing Emotion Classification
Dongjun Lim, Yun-Gyung Cheong
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training
Xiaoyang Yi, Yuru Bao, Jian Zhang et al.