Papers
A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains
Alon Jacovi, Yonatan Bitton, Bernd Bohnet et al.
Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation
Yudong Wang, Chang Ma, Qingxiu Dong et al.
A Chinese Dataset for Evaluating the Safeguards in Large Language Models
Yuxia Wang, Zenan Zhai, Haonan Li et al.
AcKnowledge: Acquired Knowledge Representation by Small Language Model Without Pre-training
Sourav Das, Sanjay Chatterji, Imon Mukherjee
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech
Gaurav Verma, Rynaa Grover, Jiawei Zhou et al.
A Comprehensive Evaluation of Quantization Strategies for Large Language Models
Renren Jin, Jiangcun Du, Wuwei Huang et al.
A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
Zihao Xu, Yi Liu, Gelei Deng et al.
A Computational Analysis and Exploration of Linguistic Borrowings in French Rap Lyrics
Lucas Zurbuchen, Rob Voigt
A Context-Contrastive Inference Approach To Partial Diacritization
Muhammad ElNokrashy, Badr AlKhamissi
A coreference corpus of Turkish situated dialogs
Faruk Büyüktekin, Umut Özge
A Course Shared Task on Evaluating LLM Output for Clinical Questions
Yufang Hou, Thy Thy Tran, Doan Nam Long Vu et al.
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space
Zongru Wu, Zhuosheng Zhang, Pengzhou Cheng et al.
A Critical Study of What Code-LLMs (Do Not) Learn
Abhinav Anand, Shweta Verma, Krishna Narasimhan et al.
ActionIE: Action Extraction from Scientific Literature with Programming Languages
Xianrui Zhong, Yufeng Du, Siru Ouyang et al.
Action Inference for Destination Prediction in Vision-and-Language Navigation
Anirudh Kondapally, Kentaro Yamada, Hitomi Yanaka
Active Prompting with Chain-of-Thought for Large Language Models
Shizhe Diao, Pengcheng Wang, Yong Lin et al.
ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization
David Wan, Koustuv Sinha, Srini Iyer et al.
AdaLomo: Low-memory Optimization with Adaptive Learning Rate
Kai Lv, Hang Yan, Qipeng Guo et al.
ADAM: Dense Retrieval Distillation with Adaptive Dark Examples
Chongyang Tao, Chang Liu, Tao Shen et al.
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
Daniil Gurgurov, Mareike Hartmann, Simon Ostermann
Adapting transformer models to morphological tagging of two highly inflectional languages: a case study on Ancient Greek and Latin
Alek Keersmaekers, Wouter Mercelis
A Data-Driven Guided Decoding Mechanism for Diagnostic Captioning
Panagiotis Kaliosis, John Pavlopoulos, Foivos Charalampakos et al.