Trending Research
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation
prbonn/4dndf
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We propose a novel approach for building accurate maps of dynamic environments utilizing a sequence of LiDAR scans.
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing
Large Language Models (LLMs) have catalyzed significant advancements in Natural Language Processing (NLP), yet they encounter challenges such as hallucination and the need for domain-specific knowledge.
WorldGPT: Empowering LLM as Multimodal World Model
dcdmllm/worldgpt
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As for evaluation, we build WorldNet, a multimodal state transition prediction benchmark encompassing varied real-life scenarios.
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation
hiyouga/llama-efficient-tuning
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Applying Reinforcement Learning (RL) to sequence generation models enables the direct optimization of long-term rewards (\textit{e. g.,} BLEU and human feedback), but typically requires large-scale sampling over a space of action sequences.
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering
To investigate these aspects, we create and publish a novel TQA evaluation benchmark in English.
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
Deepfake detection faces a critical generalization hurdle, with performance deteriorating when there is a mismatch between the distributions of training and testing data.
Lightplane: Highly-Scalable Components for Neural 3D Fields
facebookresearch/lightplane
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Contemporary 3D research, particularly in reconstruction and generation, heavily relies on 2D images for inputs or supervision.
HuixiangDou-CR: Coreference Resolution in Group Chats
How to eliminate pronominal reference in group chats?
MolTC: Towards Molecular Relational Modeling In Language Models
Molecular Relational Learning (MRL), aiming to understand interactions between molecular pairs, plays a pivotal role in advancing biochemical research.
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
magic-research/PLLaVA
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arXiv 2024
PLLaVA achieves new state-of-the-art performance on modern benchmark datasets for both video question-answer and captioning tasks.
Dense Captioning
Video-based Generative Performance Benchmarking
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