Papers
Improving Chemical Understanding of LLMs via SMILES Parsing
Yunhui Jang, Jaehyung Kim, Sungsoo Ahn
Improving Clustering with Positive Pairs Generated from LLM-Driven Labels
Xiaotong Zhang, Ying Li
Improving Context Fidelity via Native Retrieval-Augmented Reasoning
Suyuchen Wang, Jinlin Wang, Xinyu Wang et al.
Improving Cross Lingual Transfer by Pretraining with Active Forgetting
Divyanshu Aggarwal, Ashutosh Sathe, Sunayana Sitaram
Improving Handshape Representations for Sign Language Processing: A Graph Neural Network Approach
Alessa Carbo, Eric Nalisnick
Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities
Qirun Dai, Dylan Zhang, Jiaqi W. Ma et al.
Improving Informally Romanized Language Identification
Adrian Benton, Alexander Gutkin, Christo Kirov et al.
Improving Instruct Models for Free: A Study on Partial Adaptation
Ozan Irsoy, Pengxiang Cheng, Jennifer L Chen et al.
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.