Papers
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
Jooyoung Lee, Fan Yang, Thanh Tran et al.
WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions
Seyedali Mohammadi, Edward Raff, Jinendra Malekar et al.
An Emulator for Fine-tuning Large Language Models using Small Language Models
Eric Mitchell, Rafael Rafailov, Archit Sharma et al.
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
Zhanhui Zhou, Zhixuan Liu, Jie Liu et al.
To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability
Wen-wai Yim, Yujuan Fu, Asma Ben Abacha et al.
Large Language Models as Automated Aligners for benchmarking Vision-Language Models
Yuanfeng Ji, Chongjian GE, Weikai Kong et al.
Respond in my Language: Mitigating Language Inconsistency in Response Generation based on Large Language Models
Liang Zhang, Qin Jin, Haoyang Huang et al.
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
Jiapu Wang, Kai Sun, Linhao Luo et al.
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
Nicola Dainese, Matteo Merler, Minttu Alakuijala et al.
Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?
Marco Gaido, Sara Papi, Matteo Negri et al.
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
Siqi Wang, Zhengyu Chen, Bei Li et al.
Integrating Speech Self-Supervised Learning Models and Large Language Models for ASR
Ling Dong, Zhengtao Yu, Wenjun Wang et al.
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation
Xu Huang, Zhirui Zhang, Xiang Geng et al.
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models
Gengze Zhou, Yicong Hong, Qi Wu
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
Sree Harsha Tanneru, Chirag Agarwal, Himabindu Lakkaraju
Zero-Shot Spoken Language Understanding via Large Language Models: A Preliminary Study
Zhihong Zhu, Xuxin Cheng, Hao An et al.
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models
Zi’ou Zheng, Christopher Malon, Martin Renqiang Min et al.
AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models
Yuting Wei, Yuanxing Xu, Xinru Wei et al.
Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens
Weiyao Luo, Suncong Zheng, Heming Xia et al.
Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models
Yeeun Kim, Youngrok Choi, Eunkyung Choi et al.
Leveraging Natural Language Processing and Large Language Models for Assisting Due Diligence in the Legal Domain
Myeongjun Jang, Gábor Stikkel
Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Models
Milena Pustet, Elisabeth Steffen, Helena Mihaljevic
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation
Yuan Yang, Siheng Xiong, Ali Payani et al.
Teaching Large Language Models an Unseen Language on the Fly
Chen Zhang, Xiao Liu, Jiuheng Lin et al.