Papers
2,781 papers found
MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA
Hanrong Ye, Haotian Zhang, Erik Daxberger et al.
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
Zheyang Xiong, Vasilis Papageorgiou, Kangwook Lee et al.
Can LLMs Solve Longer Math Word Problems Better?
Xin Xu, Tong Xiao, Zitong Chao et al.
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
Peijie Dong, Lujun Li, Yuedong Zhong et al.
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
Zichang Liu, Jue Wang, Tri Dao et al.
ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning
Liang Zhao, En Yu, Zheng Ge et al.
LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng et al.
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
Taeho Kim, Yanming Wang, Vatshank Chaturvedi et al.
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks
Xinhao Xu, Hui Chen, Zijia Lin et al.
Making LLMs as Fine-Grained Relation Extraction Data Augmentor
Yifan Zheng, Wenjun Ke, Qi Liu et al.
MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge
Yuxuan Zhou, Xien Liu, Chen Ning et al.
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
Arnav Chavan, Raghav Magazine, Shubham Kushwaha et al.
Upgrading Search Applications in the Era of LLMs: A Demonstration with Practical Lessons
Shuang Yu, Nirandika Wanigasekara, Jeff Tan et al.
Automated Detection of Pre-training Text in Black-box LLMs
Ruihan Hu, Yu-Ming Shang, Jiankun Peng et al.
Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale Datasets for Responsible LLMs
Sai Krishna Mendu, Harish Yenala, Aditi Gulati et al.
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling
Rui Pu, Chaozhuo Li, Rui Ha et al.
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts
Yuxuan Xie, Tianhua Li, Wenqi Shao et al.
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner
Yitong Zhou, Mingyue Cheng, Qingyang Mao et al.
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
Zeyu Zhou, Yan Lin, Haomin Wen et al.
Not All Layers of LLMs Are Necessary During Inference
Siqi Fan, Xin Jiang, Xiang Li et al.
LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting
Qihong Pan, Haofei Tan, Guojiang Shen et al.
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning
Ruxue Shi, Hengrui Gu, Hangting Ye et al.
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
Zunhai Su, Hanyu Wei, Zhe Chen et al.