2024

• Dec 31, 2024 Retrieval Augmented Geneartion or Long-Context LLMs? A Comprehensive Study and Hybrid Approach TOP NEW
• Dec 10, 2024 The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation TOP NEW
• Nov 19, 2024 Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration TOP NEW
• Nov 05, 2024 Proving Test Set Contamination in Black-Box Language Models TOP NEW
• Oct 29, 2024 DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models TOP NEW
• Oct 16, 2024 What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning TOP NEW
• Oct 02, 2024 SELF-REFINE: Iterative Refinement with Self-Feedback TOP NEW
• Sep 25, 2024 API-Assisted Code Generation for Question Answering on Varied Table Structures TOP NEW
• Sep 04, 2024 Improving Text Embeddings with Large Language Models TOP NEW
• Aug 27, 2024 Faster Minimum Bayes Risk Decoding with Confidence-based Pruning TOP NEW
• Aug 20, 2024 Merging Generated and Retrieved Knowledge for Open-Domain QA TOP NEW
• Aug 13, 2024 Lost in the Middle: How Language Models Use Long Contexts TOP NEW
• Aug 06, 2024 G-EVAL: NLG Evaluation using GPT-4 with Better Human Alignment TOP NEW
• Jul 30, 2024 E5: Zero-shot Hierarchical Table Analysis using Augmented LLMs via Explain, Extract, Execute, Exhibit and Extrapolate TOP NEW
• Jul 23, 2024 Text Embeddings Reveal (Almost) As Much As Text TOP NEW
• Jul 02, 2024 Are Emergent Abilities of Large Language Models a Mirage? TOP NEW
• Jun 25, 2024 Learning to Retrieve In-Context Examples for Large Language Models TOP NEW
• Jun 16, 2024 LIMA: Less Is More for Alignment TOP NEW
• May 21, 2024 The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models TOP NEW
• May 14, 2024 CABINET: Content Relevance based Noise Reduction for Table Question Answering TOP NEW
• Apr 30, 2024 Look-back Decoding for Open-Ended Text Generation TOP NEW
• Apr 23, 2024 SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window TOP NEW
• Apr 16, 2024 Self-Knowledge Guided Retrieval Augmentation for Large Language Models TOP NEW
• Apr 09, 2024 RECOMP: Improving Retrieval-augmented LMs with Compression and Selective Augmentation TOP NEW
• Apr 02, 2024 Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy TOP NEW
• Mar 26, 2024 Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection TOP NEW
• Mar 12, 2024 In-Context Retrieval-Augmented Language Models TOP NEW
• Mar 06, 2024 Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models TOP NEW
• Feb 27, 2024 Active Retrieval Augmented Generation TOP NEW
• Feb 16, 2024 Generate Rather than Retrieve: Large Language Models are Strong Context Generators TOP NEW
• Feb 06, 2024 CRITIC: LARGE LANGUAGE MODELS CAN SELFCORRECT WITH TOOL-INTERACTIVE CRITIQUING TOP NEW
• Jan 30, 2024 Reasoning with Language Model is Planning with World Model TOP NEW
• Jan 16, 2024 Extrinsic Evaluation of Machine Translation Metrics TOP NEW

• Dec 24, 2024 VisualWebArena: Evaluating Multimodal Agents on Realistic Visually Grounded Web Tasks TOP NEW
• Dec 17, 2024 Guiding a Diffusion Model with a Bad Version of Itself TOP NEW
• Dec 02, 2024 UniIR: Training and Benchmarking Universal Multimodal Information Retrievers TOP NEW
• Nov 07, 2024 Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models TOP NEW
• Oct 22, 2024 Iterated Learning Improves Compositionality in Large Vision-Language Models TOP NEW
• Sep 11, 2024 LLaVA-OneVision: Easy Visual Task Transfer TOP NEW
• Aug 21, 2024 Images Speak in Images: A Generalist Painter for In-Context Visual Learning TOP NEW
• Jul 31, 2024 Null-text Inversion for Editing Real Images using Guided Diffusion Models TOP NEW
• Jul 17, 2024 ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts TOP NEW
• Jul 03, 2024 Segment Anything TOP NEW
• Jun 19, 2024 Exploring Simple Siamese Representation Learning TOP NEW
• Jun 05, 2024 Visual Instruction Tuning TOP NEW
• May 22, 2024 Time to Shine: Fine-Tuning Object Detection Models with Synthetic Adverse Weather Images TOP NEW
• May 08, 2024 Best of Both Worlds: Learning Arbitrary-scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency TOP NEW
• May 01, 2024 Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering TOP NEW
• Apr 17, 2024 SSSD: Self-Supervised Self Distillation TOP NEW
• Mar 27, 2024 Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding TOP NEW
• Mar 13, 2024 DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting TOP NEW
• Feb 27, 2024 Understanding Dark Scenes by Contrasting Multi-Modal Observations TOP NEW
• Feb 27, 2024 BEIT: BERT Pre-Training of Image Transformers TOP NEW
• Feb 13, 2024 ARNIQA: Learning Distortion Manifold for Image Quality Assessment TOP NEW
• Jan 02, 2024 SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model TOP NEW

2023

• Dec 27, 2023 Shape-biased CNNs are Not Always Superior in Out-of-Distribution Robustness TOP NEW
• Dec 13, 2023 Oriented R-CNN for Object Detection TOP NEW
• Nov 15, 2023 Robust Speech Recognition via Large-Scale Weak Supervision TOP NEW
• Nov 08, 2023 Rethinking Fast Fourier Convolution in Image Inpainting TOP NEW
• Nov 08, 2023 Deep Preset: Blending and Retouching Photos with Color Style Transfer TOP NEW
• Oct 25, 2023 Soft Augmentation for Image Classification TOP NEW
• Oct 11, 2023 ImageNet Pre-training also Transfers Non-robustness TOP NEW
• Sep 27, 2023 NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis TOP NEW
• Sep 13, 2023 Neural Preset for Color Style Transfer TOP NEW
• Aug 28, 2023 Mask-guided Matting in the Wild TOP NEW
• Aug 21, 2023 Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture TOP NEW
• Aug 14, 2023 DESIGNING BERT FOR CONVOLUTIONAL NETWORKS: SPARSE AND HIERARCHICAL MASKED MODELING TOP NEW
• Jul 31, 2023 Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring TOP NEW
• Jul 31, 2023 Deep Frequency Filtering for Domain Generalization TOP NEW
• Jul 23, 2023 Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations TOP NEW
• Jun 26, 2023 Towards Open World Object Detection TOP NEW
• Jun 09, 2023 CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying TOP NEW
• Jun 02, 2023 Proposal-Contrastive Pretraining for Object Detection from Fewer Data TOP NEW
• May 12, 2023 Training Independent Subnetworks for Robust Prediction TOP NEW
• Apr 21, 2023 SiamMOT:Siamese Multi-Object Tracking TOP NEW
• Apr 12, 2023 What is being transferred in transfer learning? TOP NEW
• Mar 23, 2023 Mining Cross-Person Cues for Body-Part Interactiveness Learning TOP NEW
• Mar 16, 2023 Visualizing the Loss Landscape of Neural Nets TOP NEW
• Feb 15, 2023 Fast Fourier Convolution TOP NEW
• Jan 18, 2023 CVF-SID: Cyclic Multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise From Image TOP NEW
• Jan 11, 2023 Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study TOP NEW
• Jan 11, 2023 MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer TOP NEW
• Jan 11, 2023 End-to-End Object Detection with Transformers TOP NEW

• Dec 27, 2023 HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models TOP NEW
• Dec 13, 2023 Scaling Instruction-Finetuned Language Models TOP NEW
• Nov 22, 2023 Atlas: Few-shot Learning with Retrieval Augmented Language Models TOP NEW
• Nov 15, 2023 Evaluation Metrics for Text Generation (BERTScore, BARTScore) TOP NEW
• Oct 25, 2023 LLM BLENDER: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion TOP NEW
• Oct 18, 2023 Predicting Numerals in Text Using Nearest Neighbor Language Models TOP NEW
• Oct 11, 2023 Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker TOP NEW
• Sep 20, 2023 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks TOP NEW
• Sep 13, 2023 Causes and Cures for Interference in Multilingual Translation TOP NEW
• Sep 06, 2023 Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest TOP NEW
• Aug 21, 2023 Generative Agents: Interactive Simulacra of Human Behavior TOP NEW
• Aug 14, 2023 Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems TOP NEW
• Aug 07, 2023 P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks TOP NEW
• Jul 24, 2023 RLPROMPT: Optimizing Discrete Text Prompts with Reinforcement Learning TOP NEW
• Jul 17, 2023 Detecting and Mitigating Hallucinations in Machine Translation TOP NEW
• Jul 10, 2023 Self-Instruct: Aligning Language Models with Self-Generated Instructions TOP NEW
• Jul 03, 2023 Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? TOP NEW
• Jun 26, 2023 Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models TOP NEW
• May 31, 2023 LoRA: Low-Rank Adaptation of Large Language Models TOP NEW
• May 10, 2023 A Recipe For Arbitrary Text Style Transfer with Large Language Models TOP NEW
• Apr 19, 2023 Self-Consistency Improves Chain of Thought Reasoning in Language Models TOP NEW
• Apr 12, 2023 FREELB:ENHANCED ADVERSARIAL TRAINING FOR NATURAL LANGUAGE UNDERSTANDING TOP NEW
• Mar 22, 2023 Chain-of-Thought Prompting Elicits Reasoning in Large Language Models TOP NEW
• Mar 15, 2023 Efficient Domain Adaptation of Language Models via Adaptive Tokenization TOP NEW
• Feb 13, 2023 Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity TOP NEW
• Jan 09, 2023 Self-training Imporves pre-training for natural language understanding TOP NEW

2022

• Dec 12, 2022 Training Generative Adversarial Networks in One Stage TOP NEW
• Nov 07, 2022 How Do Vision Transformers Work? TOP NEW
• Nov 07, 2022 Denoising Diffusion Probabilistic Model TOP NEW
• Nov 07, 2022 PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection TOP NEW
• Sep 26, 2022 Introduction to Image Inpainting TOP NEW
• Aug 08, 2022 Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions TOP NEW
• May 30, 2022 CornerNet: Detecting Objects as Paired Keypoints TOP NEW
• May 02, 2022 You Only Look Once: Unified, Real-Time Object Detection TOP NEW
• Mar 28, 2022 Deep High-Resolution Representation Learning for Visual Recognition TOP NEW

• Nov 28, 2022 Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little TOP NEW
• Nov 14, 2022 Dice Loss for Data-imbalanced NLP Tasks TOP NEW
• Oct 31, 2022 Making Pre-trained Language Models Better Few-shot Learners TOP NEW
• Oct 14, 2022 How good is your tokenizer? On the monolingual performance of multilingual language models TOP NEW
• Sep 19, 2022 LinkBERT: Imporving Language Model Training with Document Link TOP NEW
• Aug 01, 2022 DiffCSE:Difference-based Contrastive Learning for Sentence Embeddings TOP NEW
• Jun 27, 2022 GPT3 : Language-Models are Few Shot Learners TOP NEW
• May 25, 2022 Language Models are Unsupervised Multitask Learners(GPT2) TOP NEW
• May 25, 2022 BioBERT : a pre-trained biomedical language representation model for biomedical text mining TOP NEW
• Mar 23, 2022 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations TOP NEW
• Mar 10, 2022 Attention is All you Need TOP NEW