Papers
5,479 papers found
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
Umesh Bodhwani, Yuan Ling, Shujing Dong et al.
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation
Neeraj Varshney, Satyam Raj, Venkatesh Mishra et al.
Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search
Parsa Ghaffari, Chris Hokamp
Speaker Identification and Dataset Construction Using LLMs: A Case Study on Japanese Narratives
Seiji Gobara, Hidetaka Kamigaito, Taro Watanabe
Automatic normalization of noisy technical reports with an LLM: What effects on a downstream task?
Mariame Maarouf, Ludovic Tanguy
On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation
Rune Birkmose, Nathan Mørkeberg Reece, Esben Hofstedt Norvin et al.
Accelerating Design Space Exploration for LLM Training Systems with Multi-experiment Parallel Simulation
Fei Gui, Kaihui Gao, Li Chen et al.
Holmes: Localizing Irregularities in LLM Training with Mega-scale GPU Clusters
Zhiyi Yao, Pengbo Hu, Congcong Miao et al.
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
Amey Agrawal, Nitin Kedia, Ashish Panwar et al.
dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving
Bingyang Wu, Ruidong Zhu, Zili Zhang et al.
WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
Zheng Wang, Anna Cai, Xinfeng Xie et al.
DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization
Yeonhong Park, Jake Hyun, Hojoon Kim 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.
HalluSafe at SemEval-2024 Task 6: An NLI-based Approach to Make LLMs Safer by Better Detecting Hallucinations and Overgeneration Mistakes
Zahra Rahimi, Hamidreza Amirzadeh, Alireza Sohrabi et al.
iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing
Abbas Akkasi, Adnan Khan, Mai A. Shaaban et al.
OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMs
Vineet Saravanan, Steven Wilson
GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs
Vy Nguyen, Xiuzhen Zhang
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models
Rahul Mehta, Andrew Hoblitzell, Jack O’keefe et al.
Groningen team D at SemEval-2024 Task 8: Exploring data generation and a combined model for fine-tuning LLMs for Multidomain Machine-Generated Text Detection
Thijs Brekhof, Xuanyi Liu, Joris Ruitenbeek et al.
KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
Michal Spiegel, Dominik Macko
LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection
Shiyi Li, Yike Wang, Liang Yang et al.
DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training
Bhuvanesh Verma, Lisa Raithel
OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data
Ze Chen, Chengcheng Wei, Songtan Fang et al.
DUTh at SemEval 2024 Task 8: Comparing classic Machine Learning Algorithms and LLM based methods for Multigenerator, Multidomain and Multilingual Machine-Generated Text Detection
Theodora Kyriakou, Ioannis Maslaris, Avi Arampatzis
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
Roman Kazakov, Kseniia Petukhova, Ekaterina Kochmar