Papers
5,479 papers found
V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning
Hang Hua, Yunlong Tang, Chenliang Xu et al.
DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs
Shiyu Li, Pengxu Wei, Pengchong Qiao et al.
Union Is Strength! Unite the Power of LLMs and MLLMs for Chart Question Answering
Jiapeng Liu, Liang Li, Shihao Rao et al.
HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation
Tengfei Liu, Jiapu Wang, Yongli Hu et al.
SCOPE: Sign Language Contextual Processing with Embedding from LLMs
Yuqi Liu, Wenqian Zhang, Sihan Ren et al.
Does VLM Classification Benefit from LLM Description Semantics?
Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko et al.
Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM
Zirui Pan, Xin Wang, Yipeng Zhang et al.
Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding
Yunlong Tang, Daiki Shimada, Jing Bi et al.
CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs
Siyu Wang, Cailian Chen, Xinyi Le et al.
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning
Shengqiong Wu, Hao Fei, Liangming Pan et al.
FLAME: Learning to Navigate with Multimodal LLM in Urban Environments
Yunzhe Xu, Yiyuan Pan, Zhe Liu et al.
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding
Senqiao Yang, Jiaming Liu, Renrui Zhang et al.
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Qidong Liu, Xian Wu, Wanyu Wang et al.
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
Yatong Sun, Xiaochun Yang, Zhu Sun et al.
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
Chen Dun, Mirian Del Carmen Hipolito Garcia, Guoqing Zheng et al.
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
Peiyuan Liu, Hang Guo, Tao Dai et al.
Evaluating the Evaluator: Measuring LLMs’ Adherence to Task Evaluation Instructions
Bhuvanashree Murugadoss, Christian Poelitz, Ian Drosos et al.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs
Ruikang Ni, Da Xiao, Qingye Meng et al.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)
Kartik Singhal, Gautam Shroff
Pushing the Limits of BFP on Narrow Precision LLM Inference
Hui Wang, Yuan Cheng, Xiaomeng Han et al.
Treasures in Discarded Weights for LLM Quantization
Hao Yu, Yang Zhou, Bohua Chen et al.
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models
Chao Zeng, Songwei Liu, Yusheng Xie et al.
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs
Qin Zhang, Xiaowei Li, Ziqi Liu et al.
Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English
Avinash Anand, Kritarth Prasad, Chhavi Kirtani et al.
Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages
Ashutosh Bajpai, Tanmoy Chakraborty