Papers
Improving Language Model Personas via Rationalization with Psychological Scaffolds
Brihi Joshi, Xiang Ren, Swabha Swayamdipta et al.
Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation
Zhi Qu, Yiran Wang, Chenchen Ding et al.
Improving Large Language Model Safety with Contrastive Representation Learning
Samuel Simko, Mrinmaya Sachan, Bernhard Schölkopf et al.
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
Hy Dang, Tianyi Liu, Zhuofeng Wu et al.
Improving LLM-as-a-Judge Inference with the Judgment Distribution
Victor Wang, Michael JQ Zhang, Eunsol Choi
Improving LLM Reasoning through Interpretable Role-Playing Steering
Anyi Wang, Dong Shu, Yifan Wang et al.
Improving Low-Resource Japanese Translation with Fine-Tuning and Backtranslation for the WMT 25 General Translation Task
Felipe Fujita, Hideyuki Takada
Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations
Peichao Lai, Jiaxin Gan, Feiyang Ye et al.
Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations
Leonardo Ranaldi, Federico Ranaldi, Fabio Massimo Zanzotto et al.
Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL
Jessica Hoffmann, Christiane Ahlheim, Zac Yu et al.
Improving Online Job Advertisement Analysis via Compositional Entity Extraction
Kai Krüger, Johanna Binnewitt, Kathrin Ehmann et al.
Improving Preference Alignment of LLM with Inference-Free Self-Refinement
Fukun Ma, Kaibin Tian, Jieting Xue et al.
Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information
Yao Chen, Jiawei Sheng, Wenyuan Zhang et al.
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
Varun Dhanraj, Chris Eliasmith
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs
Abhinav Arabelly, Jagrut Nemade, Robert D Nowak et al.
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning
Sai Ashish Somayajula, Bokai Hu, Qi Cao et al.
Improving the Quality of Web-mined Parallel Corpora of Low-Resource Languages using Debiasing Heuristics
Aloka Fernando, Nisansa de Silva, Menan Velayuthan et al.
Improving Zero-shot Sentence Decontextualisation with Content Selection and Planning
Zhenyun Deng, Yulong Chen, Andreas Vlachos
In2X at WMT25 Translation Task
Lei Pang, Hanyi Mao, Quanjia Xiao et al.
In Benchmarks We Trust ... Or Not?
Ine Gevers, Victor De Marez, Jens Van Nooten et al.
Inceptive Transformers: Enhancing Contextual Representations through Multi-Scale Feature Learning Across Domains and Languages
Asif Shahriar, Rifat Shahriyar, M Saifur Rahman
Inclusive Leadership in the Age of AI: A Dataset and Comparative Study of LLMs vs. Real-Life Leaders in Workplace Action Planning
Vindhya Singh, Sabine Schulte im Walde, Ksenia Keplinger
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties
Nathan Roll, Calbert Graham, Yuka Tatsumi et al.
Incorporating Diverse Perspectives in Cultural Alignment: Survey of Evaluation Benchmarks Through A Three-Dimensional Framework
Meng-Chen Wu, Si-Chi Chin, Tess Wood et al.