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values |
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2406.16690
|
https://github.com/opennlplab/scalinglaws
|
Scaling Laws for Linear Complexity Language Models
|
https://huggingface.co/papers/2406.16690
| 21 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-25
|
2406.16768
|
WARP: On the Benefits of Weight Averaged Rewarded Policies
|
https://huggingface.co/papers/2406.16768
| 21 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-25
|
|
2406.14540
|
IRASim: Learning Interactive Real-Robot Action Simulators
|
https://huggingface.co/papers/2406.14540
| 6 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-25
|
|
2406.16852
|
https://github.com/evolvinglmms-lab/longva
|
Long Context Transfer from Language to Vision
|
https://huggingface.co/papers/2406.16852
| 32 | 2 | 1 | 2 | 0 | 0 | null | 0 |
2024-06-25
|
2406.15279
|
Cross-Modality Safety Alignment
|
https://huggingface.co/papers/2406.15279
| 3 | 1 | 0 | 0 | 1 | 0 | null | 0 |
2024-06-26
|
|
2406.17055
|
https://github.com/theryanl/llm-rationality
|
Large Language Models Assume People are More Rational than We Really are
|
https://huggingface.co/papers/2406.17055
| 4 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-26
|
2406.17660
|
https://github.com/aashiqmuhamed/grass
|
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients
|
https://huggingface.co/papers/2406.17660
| 5 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-26
|
2406.17563
|
https://github.com/danielsc4/dynamic-activation-composition
|
Multi-property Steering of Large Language Models with Dynamic Activation Composition
|
https://huggingface.co/papers/2406.17563
| 4 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2024-06-26
|
2406.17774
|
Fast and Uncertainty-Aware SVBRDF Recovery from Multi-View Capture using Frequency Domain Analysis
|
https://huggingface.co/papers/2406.17774
| 3 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-26
|
|
2406.13144
|
https://github.com/jiho283/simulator
|
DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents
|
https://huggingface.co/papers/2406.13144
| 11 | 1 | 0 | 0 | 1 | 0 | null | 0 |
2024-06-26
|
2406.16678
|
https://github.com/segment-any-text/wtpsplit
|
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
|
https://huggingface.co/papers/2406.16678
| 13 | 2 | 1 | 10 | 0 | 0 | null | 0 |
2024-06-26
|
2406.16377
|
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
|
https://huggingface.co/papers/2406.16377
| 11 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-26
|
|
2406.18518
|
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets
|
https://huggingface.co/papers/2406.18518
| 22 | 1 | 0 | 7 | 1 | 1 | null | 0 |
2024-06-26
|
|
2406.17636
|
Aligning Diffusion Models with Noise-Conditioned Perception
|
https://huggingface.co/papers/2406.17636
| 26 | 1 | 0 | 1 | 0 | 0 | null | 0 |
2024-06-26
|
|
2406.15339
|
Image Conductor: Precision Control for Interactive Video Synthesis
|
https://huggingface.co/papers/2406.15339
| 8 | 3 | 0 | 1 | 0 | 1 | null | 0 |
2024-06-26
|
|
2406.16273
|
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals
|
https://huggingface.co/papers/2406.16273
| 40 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-26
|
|
2406.17245
|
https://github.com/wenyudu/migu
|
Unlocking Continual Learning Abilities in Language Models
|
https://huggingface.co/papers/2406.17245
| 28 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2024-06-26
|
2406.17770
|
https://github.com/phoenixz810/mg-llava
|
MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning
|
https://huggingface.co/papers/2406.17770
| 18 | 1 | 1 | 1 | 0 | 0 | null | 0 |
2024-06-26
|
2406.17588
|
LongIns: A Challenging Long-context Instruction-based Exam for LLMs
|
https://huggingface.co/papers/2406.17588
| 19 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-26
|
|
2406.17419
|
https://github.com/mozerwang/loong
|
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
|
https://huggingface.co/papers/2406.17419
| 14 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2024-06-26
|
2406.17763
|
https://github.com/jhhuangchloe/DiffusionPDE
|
DiffusionPDE: Generative PDE-Solving Under Partial Observation
|
https://huggingface.co/papers/2406.17763
| 23 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-26
|
2406.16863
|
https://github.com/arthur-qiu/freetraj
|
FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models
|
https://huggingface.co/papers/2406.16863
| 10 | 3 | 1 | 0 | 0 | 1 | null | 0 |
2024-06-26
|
2406.17557
|
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
|
https://huggingface.co/papers/2406.17557
| 75 | 3 | 0 | 0 | 1 | 3 | null | 0 |
2024-06-26
|
|
2406.17758
|
MotionBooth: Motion-Aware Customized Text-to-Video Generation
|
https://huggingface.co/papers/2406.17758
| 18 | 1 | 0 | 1 | 1 | 0 | null | 0 |
2024-06-26
|
|
2406.15334
|
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
|
https://huggingface.co/papers/2406.15334
| 8 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-27
|
|
2406.18510
|
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
|
https://huggingface.co/papers/2406.18510
| 8 | 1 | 0 | 4 | 1 | 0 | null | 0 |
2024-06-27
|
|
2406.18522
|
https://github.com/pku-yuangroup/chronomagic-bench
|
ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation
|
https://huggingface.co/papers/2406.18522
| 40 | 2 | 1 | 1 | 3 | 1 | null | 0 |
2024-06-27
|
2406.18532
|
https://github.com/aiwaves-cn/agents
|
Symbolic Learning Enables Self-Evolving Agents
|
https://huggingface.co/papers/2406.18532
| 10 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-27
|
2406.16979
|
Understanding and Diagnosing Deep Reinforcement Learning
|
https://huggingface.co/papers/2406.16979
| 8 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-27
|
|
2406.18530
|
MatchTime: Towards Automatic Soccer Game Commentary Generation
|
https://huggingface.co/papers/2406.18530
| 11 | 2 | 0 | 0 | 1 | 0 | null | 0 |
2024-06-27
|
|
2406.17294
|
https://github.com/hzq950419/math-llava
|
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
|
https://huggingface.co/papers/2406.17294
| 9 | 1 | 1 | 1 | 1 | 0 | null | 0 |
2024-06-27
|
2406.16793
|
https://github.com/zyushun/adam-mini
|
Adam-mini: Use Fewer Learning Rates To Gain More
|
https://huggingface.co/papers/2406.16793
| 65 | 3 | 1 | 1 | 0 | 0 | null | 0 |
2024-06-27
|
2406.18495
|
https://github.com/allenai/wildguard
|
WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
|
https://huggingface.co/papers/2406.18495
| 12 | 1 | 1 | 1 | 3 | 0 | null | 0 |
2024-06-27
|
2406.16341
|
https://github.com/dustn1259/ehrcon
|
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
|
https://huggingface.co/papers/2406.16341
| 11 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-27
|
2406.18082
|
Octo-planner: On-device Language Model for Planner-Action Agents
|
https://huggingface.co/papers/2406.18082
| 47 | 3 | 0 | 2 | 0 | 0 | null | 0 |
2024-06-27
|
|
2406.18521
|
https://github.com/princeton-nlp/CharXiv
|
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
|
https://huggingface.co/papers/2406.18521
| 25 | 2 | 1 | 0 | 1 | 0 | null | 0 |
2024-06-27
|
2406.18219
|
https://github.com/kamanphoebe/look-into-moes
|
A Closer Look into Mixture-of-Experts in Large Language Models
|
https://huggingface.co/papers/2406.18219
| 14 | 2 | 1 | 0 | 0 | 0 | null | 0 |
2024-06-27
|
2406.17565
|
MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool
|
https://huggingface.co/papers/2406.17565
| 5 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-27
|
|
2406.18120
|
https://github.com/ahmedheakl/arazn-llm
|
ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs
|
https://huggingface.co/papers/2406.18120
| 5 | 3 | 1 | 13 | 2 | 0 | null | 0 |
2024-06-28
|
2406.10900
|
AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models
|
https://huggingface.co/papers/2406.10900
| 11 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-28
|
|
2406.19223
|
T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
|
https://huggingface.co/papers/2406.19223
| 8 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-28
|
|
2406.18676
|
https://github.com/dongguanting/dpa-rag
|
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
|
https://huggingface.co/papers/2406.18676
| 5 | 4 | 1 | 0 | 0 | 0 | null | 0 |
2024-06-28
|
2406.18790
|
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data
|
https://huggingface.co/papers/2406.18790
| 32 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-28
|
|
2406.17513
|
Benchmarking Mental State Representations in Language Models
|
https://huggingface.co/papers/2406.17513
| 3 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-28
|
|
2406.19395
|
https://github.com/MoSalama98/DSiRe
|
Dataset Size Recovery from LoRA Weights
|
https://huggingface.co/papers/2406.19395
| 17 | 4 | 1 | 0 | 1 | 0 | null | 0 |
2024-06-28
|
2406.18125
|
https://github.com/noran-mohamed/Resume-Classification-Dataset
|
ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
|
https://huggingface.co/papers/2406.18125
| 3 | 2 | 0 | 2 | 1 | 0 | null | 0 |
2024-06-28
|
2406.14629
|
https://github.com/imagination-research/lbt
|
Can LLMs Learn by Teaching? A Preliminary Study
|
https://huggingface.co/papers/2406.14629
| 17 | 2 | 1 | 0 | 0 | 0 | null | 0 |
2024-06-28
|
2406.08316
|
Is Programming by Example solved by LLMs?
|
https://huggingface.co/papers/2406.08316
| 11 | 1 | 0 | 0 | 0 | 1 | null | 0 |
2024-06-28
|
|
2406.14909
|
https://github.com/thu-nics/moa
|
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression
|
https://huggingface.co/papers/2406.14909
| 12 | 2 | 1 | 0 | 0 | 0 | null | 0 |
2024-06-28
|
2406.19389
|
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
|
https://huggingface.co/papers/2406.19389
| 51 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-28
|
|
2406.19226
|
Simulating Classroom Education with LLM-Empowered Agents
|
https://huggingface.co/papers/2406.19226
| 28 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-28
|
|
2406.19263
|
https://github.com/eric-ai-lab/Screen-Point-and-Read
|
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
|
https://huggingface.co/papers/2406.19263
| 9 | 2 | 1 | 0 | 4 | 0 | null | 0 |
2024-06-28
|
2406.18629
|
https://github.com/dvlab-research/step-dpo
|
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
|
https://huggingface.co/papers/2406.18629
| 37 | 2 | 1 | 7 | 1 | 0 | null | 0 |
2024-06-28
|
2406.19227
|
Aligning Teacher with Student Preferences for Tailored Training Data Generation
|
https://huggingface.co/papers/2406.19227
| 23 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-28
|
|
2406.19215
|
https://github.com/thu-keg/seakr
|
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
|
https://huggingface.co/papers/2406.19215
| 28 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-06-28
|
2406.19314
|
https://github.com/livebench/livebench
|
LiveBench: A Challenging, Contamination-Free LLM Benchmark
|
https://huggingface.co/papers/2406.19314
| 14 | 2 | 1 | 0 | 8 | 0 | null | 0 |
2024-06-28
|
2407.00617
|
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
|
https://huggingface.co/papers/2407.00617
| 7 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-01
|
|
2406.16845
|
RaTEScore: A Metric for Radiology Report Generation
|
https://huggingface.co/papers/2406.16845
| 4 | 1 | 0 | 0 | 2 | 0 | null | 0 |
2024-07-01
|
|
2406.20095
|
https://github.com/lostxine/llara
|
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
|
https://huggingface.co/papers/2406.20095
| 17 | 1 | 1 | 4 | 0 | 0 | null | 0 |
2024-07-01
|
2406.19320
|
https://github.com/vmicheli/delta-iris
|
Efficient World Models with Context-Aware Tokenization
|
https://huggingface.co/papers/2406.19320
| 7 | 1 | 1 | 1 | 0 | 0 | null | 0 |
2024-07-01
|
2406.17720
|
https://github.com/baskargroup/Arboretum
|
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity
|
https://huggingface.co/papers/2406.17720
| 7 | 1 | 1 | 0 | 1 | 0 | null | 0 |
2024-07-01
|
2406.20076
|
https://github.com/hustvl/evf-sam
|
EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model
|
https://huggingface.co/papers/2406.20076
| 7 | 3 | 1 | 0 | 0 | 0 | null | 0 |
2024-07-01
|
2406.19774
|
Direct Preference Knowledge Distillation for Large Language Models
|
https://huggingface.co/papers/2406.19774
| 21 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-01
|
|
2406.19251
|
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
|
https://huggingface.co/papers/2406.19251
| 8 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-01
|
|
2406.19280
|
https://github.com/freedomintelligence/huatuogpt-vision
|
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
|
https://huggingface.co/papers/2406.19280
| 55 | 6 | 1 | 2 | 1 | 0 | null | 0 |
2024-07-01
|
2406.18462
|
GaussianDreamerPro: Text to Manipulable 3D Gaussians with Highly Enhanced Quality
|
https://huggingface.co/papers/2406.18462
| 11 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-01
|
|
2406.20094
|
https://github.com/tencent-ailab/persona-hub
|
Scaling Synthetic Data Creation with 1,000,000,000 Personas
|
https://huggingface.co/papers/2406.20094
| 84 | 5 | 1 | 0 | 1 | 0 | null | 0 |
2024-07-01
|
2407.00788
|
InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation
|
https://huggingface.co/papers/2407.00788
| 20 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2407.01272
|
Show Less, Instruct More: Enriching Prompts with Definitions and Guidelines for Zero-Shot NER
|
https://huggingface.co/papers/2407.01272
| 8 | 1 | 0 | 1 | 0 | 0 | null | 0 |
2024-07-02
|
|
2406.20085
|
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
|
https://huggingface.co/papers/2406.20085
| 9 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2406.19741
|
https://github.com/huawei-noah/hebo
|
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning
|
https://huggingface.co/papers/2406.19741
| 56 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
2407.00111
|
Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Models
|
https://huggingface.co/papers/2407.00111
| 5 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2407.00402
|
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
|
https://huggingface.co/papers/2407.00402
| 22 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2406.20086
|
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs
|
https://huggingface.co/papers/2406.20086
| 3 | 2 | 0 | 1 | 0 | 0 | null | 0 |
2024-07-02
|
|
2406.18284
|
RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network
|
https://huggingface.co/papers/2406.18284
| 17 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2406.20087
|
ProgressGym: Alignment with a Millennium of Moral Progress
|
https://huggingface.co/papers/2406.20087
| 3 | 2 | 0 | 36 | 3 | 0 | null | 0 |
2024-07-02
|
|
2406.19999
|
https://github.com/shin-ee-chen/SIFo
|
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
|
https://huggingface.co/papers/2406.19999
| 3 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
2407.00106
|
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI
|
https://huggingface.co/papers/2407.00106
| 5 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2407.00088
|
https://github.com/microsoft/t-mac
|
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge
|
https://huggingface.co/papers/2407.00088
| 7 | 1 | 1 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
2407.00653
|
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
|
https://huggingface.co/papers/2407.00653
| 11 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2407.00782
|
https://github.com/mathllm/Step-Controlled_DPO
|
Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning
|
https://huggingface.co/papers/2407.00782
| 21 | 3 | 1 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
2407.00114
|
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
|
https://huggingface.co/papers/2407.00114
| 12 | 4 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2407.01284
|
https://github.com/we-math/we-math
|
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
|
https://huggingface.co/papers/2407.01284
| 72 | 4 | 1 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
2407.00468
|
https://github.com/chenllliang/mmevalpro
|
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation
|
https://huggingface.co/papers/2407.00468
| 35 | 2 | 1 | 0 | 1 | 0 | null | 0 |
2024-07-02
|
2406.18009
|
E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS
|
https://huggingface.co/papers/2406.18009
| 18 | 3 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2406.19997
|
Wavelets Are All You Need for Autoregressive Image Generation
|
https://huggingface.co/papers/2406.19997
| 27 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2407.01231
|
MIRAI: Evaluating LLM Agents for Event Forecasting
|
https://huggingface.co/papers/2407.01231
| 15 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2407.00320
|
LiteSearch: Efficacious Tree Search for LLM
|
https://huggingface.co/papers/2407.00320
| 37 | 5 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2407.01492
|
https://github.com/sail-sg/regmix
|
RegMix: Data Mixture as Regression for Language Model Pre-training
|
https://huggingface.co/papers/2407.01492
| 30 | 4 | 1 | 5 | 2 | 1 | null | 0 |
2024-07-02
|
2407.00367
|
SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix
|
https://huggingface.co/papers/2407.00367
| 9 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2407.00837
|
Towards Robust Speech Representation Learning for Thousands of Languages
|
https://huggingface.co/papers/2407.00837
| 9 | 1 | 0 | 1 | 3 | 0 | null | 0 |
2024-07-02
|
|
2407.01449
|
ColPali: Efficient Document Retrieval with Vision Language Models
|
https://huggingface.co/papers/2407.01449
| 29 | 1 | 0 | 6 | 5 | 2 | null | 0 |
2024-07-02
|
|
2407.01470
|
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
|
https://huggingface.co/papers/2407.01470
| 5 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-02
|
|
2407.01519
|
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
|
https://huggingface.co/papers/2407.01519
| 22 | 2 | 0 | 0 | 0 | 1 | null | 0 |
2024-07-02
|
|
2407.01920
|
https://github.com/zjunlp/knowundo
|
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
|
https://huggingface.co/papers/2407.01920
| 13 | 3 | 0 | 0 | 1 | 0 | null | 0 |
2024-07-03
|
2407.02489
|
Magic Insert: Style-Aware Drag-and-Drop
|
https://huggingface.co/papers/2407.02489
| 17 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-03
|
|
2407.02477
|
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
|
https://huggingface.co/papers/2407.02477
| 19 | 2 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-03
|
|
2406.19238
|
https://github.com/copenlu/llm-pct-tropes
|
Revealing Fine-Grained Values and Opinions in Large Language Models
|
https://huggingface.co/papers/2406.19238
| 13 | 1 | 1 | 0 | 1 | 0 | null | 0 |
2024-07-03
|
2407.02371
|
OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
|
https://huggingface.co/papers/2407.02371
| 47 | 4 | 0 | 1 | 1 | 0 | null | 0 |
2024-07-03
|
|
2407.01791
|
https://github.com/Ale9806/eVLLM
|
μ-Bench: A Vision-Language Benchmark for Microscopy Understanding
|
https://huggingface.co/papers/2407.01791
| 5 | 1 | 0 | 0 | 0 | 0 | null | 0 |
2024-07-03
|
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