| Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning added by Syntology |
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zhouzypaul/qgf/agents/dcgql.py 7fc1d127bf81537f |
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| A KL-regularization Framework for Learning to Plan with Adaptive Priors added by Syntology |
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| Maximum Entropy Reinforcement Learning with Diffusion Policy |
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diffusionyes/maxentdp/jaxrl5/agents/score_matching/max_entropy_learner.py 7fc1d127bf81537f |
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ltlhuuu/PSEC/jaxrl5/agents/psec/psec_pretrain.py 7fc1d127bf81537f |
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| Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model |
27 Oct 2024 |
evalarzj/qdq/agents/qdq/Qdistribution.py 7fc1d127bf81537f |
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| Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design |
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VITA-Group/READ-ME/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition |
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zhouzihao11/CCL/models/wideresnet.py 0a7c46eb67c0c21b |
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| HydraViT: Stacking Heads for a Scalable ViT |
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| Looped Transformers for Length Generalization |
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UW-Madison-Lee-Lab/looped-tf/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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yushuntang/dpal/models/layers/activations.py 801c85b8903bfff5 |
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| Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps |
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| Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning |
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LINs-lab/CapaBoost/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning |
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gank0078/boat/models/wideresnet.py 0a7c46eb67c0c21b |
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| ESCoT: Towards Interpretable Emotional Support Dialogue Systems |
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| Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning |
31 May 2024 |
Fang-Lin93/DAC/agents/dac.py 7fc1d127bf81537f |
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| VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks |
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| Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically |
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| AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation |
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| Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models |
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| Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks |
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| Improving Open-Ended Text Generation via Adaptive Decoding |
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| Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings |
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kvfrans/fre/common/networks/basic.py 7fc1d127bf81537f |
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| Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning |
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johnathan-xie/sma/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning |
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| Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers |
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abhibambhaniya/progressive_gradient_flow_nm_sparsity/timm/layers/activations.py 801c85b8903bfff5 |
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| OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning |
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| Generative Dense Retrieval: Memory Can Be a Burden |
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| Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation |
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lsan2401/rmsin/bert/modeling_bert.py 22b41155e451683b |
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| Mask Grounding for Referring Image Segmentation |
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yxchng/mask-grounding/bert/modeling_bert.py 22b41155e451683b |
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| DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models |
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ali-vilab/dreamtalk/core/networks/mish.py e8af53cde1de7240 |
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| SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning |
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yue-fan/ssb/models/resnext.py 0a7c46eb67c0c21b |
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| An Analysis and Mitigation of the Reversal Curse |
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trestad/mitigating-reversal-curse/transformers/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| arXiv:2310.09821 |
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ymLeiFDU/LICO/models/wideresnet_prompt.py 0a7c46eb67c0c21b |
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| A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance |
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| Contrastive Grouping with Transformer for Referring Image Segmentation |
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| Beyond One-to-One: Rethinking the Referring Image Segmentation |
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toggle1995/RIS-DMMI/bert/modeling_bert.py 22b41155e451683b |
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| Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering |
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dyjdongyijun/Semi_Supervised_Knowledge_Distillation/models/wideresnet.py 0a7c46eb67c0c21b |
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| Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions |
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byungdoh/llm_decomposition/huggingface/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| Text-Visual Prompting for Efficient 2D Temporal Video Grounding |
9 Mar 2023 |
intel/TVP/src/modeling/transformers.py 060527bb34794b59 |
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| PolyFormer: Referring Image Segmentation as Sequential Polygon Generation |
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amazon-science/polygon-transformer/bert/modeling_bert.py 22b41155e451683b |
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| AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning |
28 Jan 2023 |
cambridgeltl/autopeft/adapter-transformers-adapters3.1.0/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal |
21 Dec 2022 |
byungdoh/attn_dist/huggingface/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization |
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| EvEntS ReaLM: Event Reasoning of Entity States via Language Models |
10 Nov 2022 |
spilioeve/eventsrealm/transformers-single-all-attribute-prompt-experiments/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations |
31 Oct 2022 |
tmacmai/multimodal-information-bottleneck/MIB_github/cmib.py 22b41155e451683b |
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| A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models |
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llyx97/sparse-and-robust-PLM/hg_transformers/modeling_bert.py 060527bb34794b59 |
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| Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data |
25 Aug 2022 |
tufts-ml/fix-a-step/src_CIFAR10/models/wideresnet.py 0a7c46eb67c0c21b |
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| Can Language Understand Depth? |
3 Jul 2022 |
adonis-galaxy/depthclip/DepthCLIP_code/monoclip.py b3fc125f523d185a |
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| MotionMixer: MLP-based 3D Human Body Pose Forecasting |
1 Jul 2022 |
MotionMLP/MotionMixer/amass/mlp_mixer.py af4a374dbb4a686b |
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| MulT: An End-to-End Multitask Learning Transformer |
17 May 2022 |
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| A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution |
17 Mar 2022 |
zhaominyiz/c3-stisr/model/c3.py 2bc017e584227198 |
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| Locally Typical Sampling |
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cimeister/typical-sampling/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| Attention Approximates Sparse Distributed Memory |
10 Nov 2021 |
trentbrick/attention-approximates-sdm/HugFace/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models |
30 Oct 2021 |
vita-group/dsee/non-GPT-2/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings |
13 Oct 2021 |
DeepLearnXMU/IRSEG/IRSEKG+bert+FHdecoder/model/modeling_bert.py 22b41155e451683b |
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| Towards a Unified View of Parameter-Efficient Transfer Learning |
8 Oct 2021 |
jxhe/unify-parameter-efficient-tuning/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| Unsupervised Selective Labeling for More Effective Semi-Supervised Learning |
6 Oct 2021 |
TonyLianLong/UnsupervisedSelectiveLabeling/semisup-fixmatch-cifar/models/wideresnet.py 0a7c46eb67c0c21b |
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| Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes |
18 Sep 2021 |
skywalker023/focused-empathy/from_epitome/modeling_bert.py 060527bb34794b59 |
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| Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation |
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UKPLab/m-AMR2Text/transformers/activations.py f889d53c68539013 |
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| Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation |
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UKPLab/m-AMR2Text/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| Learned Token Pruning for Transformers |
2 Jul 2021 |
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| Learned Token Pruning for Transformers |
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kssteven418/ltp/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| Dialogue-oriented Pre-training |
1 Jun 2021 |
xyease/Dialog-PrLM/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers |
28 May 2021 |
VisionLearningGroup/OP_Match/models/wideresnet.py 0a7c46eb67c0c21b |
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| Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs |
16 Apr 2021 |
GT-SALT/Structure-Aware-BART/transformers/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models |
16 Apr 2021 |
alab-nii/eval_vl_glue/eval_vl_glue/transformers_volta/activations.py f889d53c68539013 |
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| Parameter-Efficient Transfer Learning with Diff Pruning |
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| Transformers for Modeling Physical Systems |
4 Oct 2020 |
zabaras/transformer-physx/trphysx/transformer/utils.py 0740153a63170d33 |
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| The Lottery Ticket Hypothesis for Pre-trained BERT Networks |
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| AdapterHub: A Framework for Adapting Transformers |
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adapter-hub/adapter-transformers-legacy/src/transformers/activations_tf.py cc8c8c3ebf0c343f |
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| On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines |
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uds-lsv/bert-stable-fine-tuning/src/transformers/modeling_bert.py 060527bb34794b59 |
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| FastSpeech 2: Fast and High-Quality End-to-End Text to Speech |
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| YOLOv4: Optimal Speed and Accuracy of Object Detection |
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| FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence |
21 Jan 2020 |
kekmodel/FixMatch-pytorch/models/wideresnet.py 48dececd48e901d2 |
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| MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection |
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| Mish: A Self Regularized Non-Monotonic Activation Function |
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digantamisra98/Mish/Mish/Torch/functional.py e8af53cde1de7240 |
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| Mish: A Self Regularized Non-Monotonic Activation Function |
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digantamisra98/Mish/Mish/TFKeras/mish.py 77350704c0889a70 |
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| Learning Lightweight Lane Detection CNNs by Self Attention Distillation |
2 Aug 2019 |
NOHYC/autonomous_driving_car_project/SIM/catkin_ws/src/project/src/ddpg_stage.py 55a0b1ed4884f9c2 |
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| Searching for MobileNetV3 |
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ckyrkou/EmergencyNet/code/model.py 5426806a2db402eb |
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| SlowFast Networks for Video Recognition |
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Ysp9714/SlowFastNet-keras/slow_fast_net.py 917ffef98b6587fc |
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| Xception: Deep Learning with Depthwise Separable Convolutions |
7 Oct 2016 |
tanreinama/XceptionHourgrass---PyTorch/xceptionhourgrass.py 6a59ba4afdd39102 |
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| Stacked Hourglass Networks for Human Pose Estimation |
22 Mar 2016 |
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| arXiv:aaai_29068 |
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| arXiv:Zhuang_CMAD_Correlation-Aware_and_Modalities-Aware_Distillation_for_Multimodal_Sentiment_Analysis_with_ICCV_2025_paper |
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| arXiv:Li_Align_and_Prompt_Video-and-Language_Pre-Training_With_Entity_Prompts_CVPR_2022_paper |
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| arXiv:Huang_Systematic_Comparison_of_Semi-supervised_and_Self-supervised_Learning_for_Medical_Image_CVPR_2024_paper |
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| arXiv:2025.findings-emnlp.70 |
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| arXiv:2024.findings-naacl.117 |
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| arXiv:2022.naacl-main.130 |
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| arXiv:2021.findings-emnlp.386 |
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| arXiv:2021.acl-long.390 |
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