Papers
2,781 papers found
shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation
Sanjeev Kumar Karn, Rikhiya Ghosh, Kusuma P et al.
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?
Junda Wang, Zonghai Yao, Avijit Mitra et al.
Extending an Event-type Ontology: Adding Verbs and Classes Using Fine-tuned LLMs Suggestions
Jana Straková, Eva Fučíková, Jan Hajič et al.
UMUTeam at SemEval-2023 Task 12: Ensemble Learning of LLMs applied to Sentiment Analysis for Low-resource African Languages
José Antonio García-Díaz, Camilo Caparros-laiz, Ángela Almela et al.
When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)
Reto Gubelmann, Aikaterini-lida Kalouli, Christina Niklaus et al.
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation
DaYou Du, Yijia Zhang, Shijie Cao et al.
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs
Yebowen Hu, Kaiqiang Song, Sangwoo Cho et al.
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis
Yueqi Xie, Minghong Fang, Renjie Pi et al.
FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability
Congying Xia, Chen Xing, Jiangshu Du et al.
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving
Chenyang An, Zhibo Chen, Qihao Ye et al.
FineSurE: Fine-grained Summarization Evaluation using LLMs
Hwanjun Song, Hang Su, Igor Shalyminov et al.
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation
Zhaowei Wang, Wei Fan, Qing Zong et al.
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs
Xiangyu Zhao, Bo Liu, Qijiong Liu et al.
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games
Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo et al.
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
Xiaoying Zhang, Baolin Peng, Ye Tian et al.
Surgical Feature-Space Decomposition of LLMs: Why, When and How?
Arnav Chavan, Nahush Lele, Deepak Gupta
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs
Zimu Lu, Aojun Zhou, Houxing Ren et al.
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Qintong Li, Leyang Cui, Xueliang Zhao et al.
GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?
Dayoon Ko, Jinyoung Kim, Hahyeon Choi et al.
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty et al.
Metaphor Understanding Challenge Dataset for LLMs
Xiaoyu Tong, Rochelle Choenni, Martha Lewis et al.
A Multi-Task Embedder For Retrieval Augmented LLMs
Peitian Zhang, Zheng Liu, Shitao Xiao et al.
In-context Mixing (ICM): Code-mixed Prompts for Multilingual LLMs
Bhavani Shankar, Preethi Jyothi, Pushpak Bhattacharyya
Intuitive or Dependent? Investigating LLMs’ Behavior Style to Conflicting Prompts
Jiahao Ying, Yixin Cao, Kai Xiong et al.