Papers
Towards Aligning Language Models with Textual Feedback
Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan et al.
Towards an Automated Pointwise Evaluation Metric for Generated Long-Form Legal Summaries
Shao Min Tan, Quentin Grail, Lee Quartey
Towards a new Benchmark for Emotion Detection in NLP: A Unifying Framework of Recent Corpora
Anna Koufakou, Elijah Nieves, John Peller
Towards a Similarity-adjusted Surprisal Theory
Clara Meister, Mario Giulianelli, Tiago Pimentel
Towards Benchmarking Situational Awareness of Large Language Models:Comprehensive Benchmark, Evaluation and Analysis
Guo Tang, Zheng Chu, Wenxiang Zheng et al.
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs
Simone Conia, Daniel Lee, Min Li et al.
Towards Cross-Linguistic Semantic Grounding using Dictionary Graph Analysis
Ethan Eschrich, Zoey Liu
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models
Yongjin Yang, Jongwoo Ko, Se-Young Yun
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling
Huije Lee, Hoyun Song, Jisu Shin et al.
Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks
Sungkyung Kim, Adam Lee, Junyoung Park et al.
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt et al.
Towards Explainable Chinese Native Learner Essay Fluency Assessment: Dataset, Tasks, and Method
Xinshu Shen, Hongyi Wu, Yadong Zhang et al.
Towards Explainable Computerized Adaptive Testing with Large Language Model
Cheng Cheng, GuanHao Zhao, Zhenya Huang et al.
Towards Explainable Multi-Label Text Classification: A Multi-Task Rationalisation Framework for Identifying Indicators of Forced Labour
Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
Weihe Zhai, Arkaitz Zubiaga, Bingquan Liu et al.
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters
Euiin Yi, Taehyeon Kim, Hongseok Jeung et al.
Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions
Angana Borah, Rada Mihalcea
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
Junying Chen, Chi Gui, Ruyi Ouyang et al.
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models
Michael Lan, Philip Torr, Fazl Barez
Towards Low-Resource Harmful Meme Detection with LMM Agents
Jianzhao Huang, Hongzhan Lin, Liu Ziyan et al.
Towards Measuring and Modeling “Culture” in LLMs: A Survey
Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania et al.
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
Anas Himmi, Ekhine Irurozki, Nathan Noiry et al.
Towards One-to-Many Visual Question Answering
Huishan Ji, Qingyi Si, Zheng Lin et al.
Towards Online Continuous Sign Language Recognition and Translation
Ronglai Zuo, Fangyun Wei, Brian Mak
Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout
Changhun Lee, Chiehyeon Lim