Can Large Language Models Understand Context?
Paper
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2402.00858
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Published
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21
AI Paper of the Day
A collection of papers that I think are interesting, one added each day
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OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 81 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 144 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 65 -
Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 86 -
PALP: Prompt Aligned Personalization of Text-to-Image Models
Paper • 2401.06105 • Published • 47 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 59 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 51 -
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
Paper • 2402.05140 • Published • 20 -
In-Context Principle Learning from Mistakes
Paper • 2402.05403 • Published • 14 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 109 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 41 -
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs
Paper • 2311.05657 • Published • 27 -
Premise Order Matters in Reasoning with Large Language Models
Paper • 2402.08939 • Published • 27 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 101 -
World Model on Million-Length Video And Language With RingAttention
Paper • 2402.08268 • Published • 37 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 40 -
Reformatted Alignment
Paper • 2402.12219 • Published • 16 -
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
Paper • 2401.16380 • Published • 48 -
LLM Agents can Autonomously Hack Websites
Paper • 2402.06664 • Published • 3 -
VideoPrism: A Foundational Visual Encoder for Video Understanding
Paper • 2402.13217 • Published • 22 -
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 47 -
Genie: Generative Interactive Environments
Paper • 2402.15391 • Published • 71 -
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 23 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 603 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 25 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 44 -
AtomoVideo: High Fidelity Image-to-Video Generation
Paper • 2403.01800 • Published • 20 -
Design2Code: How Far Are We From Automating Front-End Engineering?
Paper • 2403.03163 • Published • 93 -
Recovering the Pre-Fine-Tuning Weights of Generative Models
Paper • 2402.10208 • Published • 7 -
A Closer Look at the Limitations of Instruction Tuning
Paper • 2402.05119 • Published • 5 -
Multi-LoRA Composition for Image Generation
Paper • 2402.16843 • Published • 28 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 32 -
Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters
Paper • 2403.02677 • Published • 16 -
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Paper • 2403.05438 • Published • 18 -
Stealing Part of a Production Language Model
Paper • 2403.06634 • Published • 90 -
Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings
Paper • 2403.07750 • Published • 21 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 62 -
Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts
Paper • 2403.08268 • Published • 15 -
GiT: Towards Generalist Vision Transformer through Universal Language Interface
Paper • 2403.09394 • Published • 25 -
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress
Paper • 2402.19472 • Published • 2 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 124 -
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Paper • 2403.08763 • Published • 49 -
Enhancing Vision-Language Pre-training with Rich Supervisions
Paper • 2403.03346 • Published • 14 -
VideoMamba: State Space Model for Efficient Video Understanding
Paper • 2403.06977 • Published • 27 -
Gemma: Open Models Based on Gemini Research and Technology
Paper • 2403.08295 • Published • 47 -
On the Societal Impact of Open Foundation Models
Paper • 2403.07918 • Published • 16 -
Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models
Paper • 2403.16999 • Published • 3 -
Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos
Paper • 2403.13044 • Published • 15 -
InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding
Paper • 2403.15377 • Published • 22 -
AnyV2V: A Plug-and-Play Framework For Any Video-to-Video Editing Tasks
Paper • 2403.14468 • Published • 23 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 24 -
Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM
Paper • 2403.07487 • Published • 13 -
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Paper • 2403.05530 • Published • 60 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 47 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 104 -
ReALM: Reference Resolution As Language Modeling
Paper • 2403.20329 • Published • 21 -
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing
Paper • 2404.05717 • Published • 24 -
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 27 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 90 -
RULER: What's the Real Context Size of Your Long-Context Language Models?
Paper • 2404.06654 • Published • 34 -
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 84 -
CodecLM: Aligning Language Models with Tailored Synthetic Data
Paper • 2404.05875 • Published • 16 -
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
Paper • 2404.08801 • Published • 63 -
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Paper • 2404.12387 • Published • 38 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 17 -
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 53 -
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video
Paper • 2404.09833 • Published • 29 -
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
Paper • 2404.09990 • Published • 12 -
Many-Shot In-Context Learning
Paper • 2404.11018 • Published • 4 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 254 -
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 126 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 52 -
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Paper • 2404.16873 • Published • 28 -
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Paper • 2404.18796 • Published • 68 -
Extending Llama-3's Context Ten-Fold Overnight
Paper • 2404.19553 • Published • 33 -
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
Paper • 2405.01535 • Published • 118 -
FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 24 -
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
Paper • 2310.17884 • Published • 1 -
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
Paper • 2310.08584 • Published • 2 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 73 -
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
Paper • 2404.19752 • Published • 22 -
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Paper • 2405.05904 • Published • 6 -
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
Paper • 2405.00332 • Published • 30 -
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 47 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 126 -
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks
Paper • 2405.08911 • Published • 1 -
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Paper • 2403.14403 • Published • 6 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 87 -
FIFO-Diffusion: Generating Infinite Videos from Text without Training
Paper • 2405.11473 • Published • 53 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 46 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 67 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 118 -
Aya 23: Open Weight Releases to Further Multilingual Progress
Paper • 2405.15032 • Published • 27 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 85 -
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Paper • 2405.21075 • Published • 19 -
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
Paper • 2406.04325 • Published • 72 -
Are We Done with MMLU?
Paper • 2406.04127 • Published • 37 -
Parrot: Multilingual Visual Instruction Tuning
Paper • 2406.02539 • Published • 35 -
Verbalized Machine Learning: Revisiting Machine Learning with Language Models
Paper • 2406.04344 • Published • 1 -
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
Paper • 2406.04770 • Published • 27 -
McEval: Massively Multilingual Code Evaluation
Paper • 2406.07436 • Published • 40 -
Depth Anything V2
Paper • 2406.09414 • Published • 92 -
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Paper • 2406.06525 • Published • 65 -
Needle In A Multimodal Haystack
Paper • 2406.07230 • Published • 52 -
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models
Paper • 2406.11230 • Published • 34 -
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Paper • 2406.11931 • Published • 57 -
Adversarial Attacks on Multimodal Agents
Paper • 2406.12814 • Published • 4 -
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 85 -
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
Paper • 2406.14544 • Published • 34 -
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
Paper • 2406.06326 • Published • 1 -
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Paper • 2406.15319 • Published • 61 -
Unlocking Continual Learning Abilities in Language Models
Paper • 2406.17245 • Published • 28 -
Octo-planner: On-device Language Model for Planner-Action Agents
Paper • 2406.18082 • Published • 47 -
Scalable MatMul-free Language Modeling
Paper • 2406.02528 • Published • 11 -
Fantastic Copyrighted Beasts and How (Not) to Generate Them
Paper • 2406.14526 • Published • 1 -
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
Paper • 2407.00653 • Published • 11 -
Aligning Teacher with Student Preferences for Tailored Training Data Generation
Paper • 2406.19227 • Published • 24 -
PaliGemma: A versatile 3B VLM for transfer
Paper • 2407.07726 • Published • 67 -
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Paper • 2407.07895 • Published • 40 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 48 -
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
Paper • 2407.04842 • Published • 52 -
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
Paper • 2407.12784 • Published • 48 -
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Paper • 2407.10058 • Published • 29 -
NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?
Paper • 2407.11963 • Published • 43 -
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents
Paper • 2407.16741 • Published • 68 -
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
Paper • 2402.12226 • Published • 41 -
NExT-GPT: Any-to-Any Multimodal LLM
Paper • 2309.05519 • Published • 78 -
The Llama 3 Herd of Models
Paper • 2407.21783 • Published • 107 -
Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle
Paper • 2407.13833 • Published • 11 -
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
Paper • 2407.18219 • Published • 3 -
SAM 2: Segment Anything in Images and Videos
Paper • 2408.00714 • Published • 108 -
Gemma 2: Improving Open Language Models at a Practical Size
Paper • 2408.00118 • Published • 73 -
Apple Intelligence Foundation Language Models
Paper • 2407.21075 • Published • 3 -
Self-Taught Evaluators
Paper • 2408.02666 • Published • 26 -
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
Paper • 2408.02718 • Published • 60 -
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
Paper • 2408.02545 • Published • 33 -
LLaVA-OneVision: Easy Visual Task Transfer
Paper • 2408.03326 • Published • 59 -
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
Paper • 2305.04091 • Published • 2 -
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Paper • 2402.04249 • Published • 3 -
Can AI Assistants Know What They Don't Know?
Paper • 2401.13275 • Published • 1 -
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Paper • 2405.11157 • Published • 26 -
Prompt Sketching for Large Language Models
Paper • 2311.04954 • Published • 2 -
FairProof : Confidential and Certifiable Fairness for Neural Networks
Paper • 2402.12572 • Published • 1 -
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos
Paper • 2403.05535 • Published • 1 -
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
Paper • 2408.07931 • Published • 19 -
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Paper • 2408.10188 • Published • 51 -
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
Paper • 2408.04810 • Published • 22 -
LLM Pruning and Distillation in Practice: The Minitron Approach
Paper • 2408.11796 • Published • 55 -
TrackGo: A Flexible and Efficient Method for Controllable Video Generation
Paper • 2408.11475 • Published • 17 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 41 -
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
Paper • 2408.11001 • Published • 11 -
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
Paper • 2406.12624 • Published • 36 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 121 -
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation
Paper • 2408.15881 • Published • 20 -
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Paper • 2408.15998 • Published • 83 -
Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models
Paper • 2408.02442 • Published • 21 -
CogVLM2: Visual Language Models for Image and Video Understanding
Paper • 2408.16500 • Published • 56 -
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios
Paper • 2408.17267 • Published • 23 -
OLMoE: Open Mixture-of-Experts Language Models
Paper • 2409.02060 • Published • 77 -
Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing
Paper • 2409.01322 • Published • 94 -
Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?
Paper • 2407.01119 • Published • 1 -
Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance
Paper • 2409.04593 • Published • 22 -
SongCreator: Lyrics-based Universal Song Generation
Paper • 2409.06029 • Published • 21 -
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 43 -
LLaMA-Omni: Seamless Speech Interaction with Large Language Models
Paper • 2409.06666 • Published • 55 -
UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity
Paper • 2409.04081 • Published • 3 -
InstantDrag: Improving Interactivity in Drag-based Image Editing
Paper • 2409.08857 • Published • 30 -
NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 72 -
Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement
Paper • 2409.11378 • Published • 1 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 135 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22 -
LLMs Will Always Hallucinate, and We Need to Live With This
Paper • 2409.05746 • Published • 3 -
Imagine yourself: Tuning-Free Personalized Image Generation
Paper • 2409.13346 • Published • 67 -
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Paper • 2409.12941 • Published • 22 -
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Paper • 2409.12183 • Published • 36 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 103 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 91 -
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Paper • 2409.20566 • Published • 52 -
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices
Paper • 2410.00531 • Published • 29 -
Loong: Generating Minute-level Long Videos with Autoregressive Language Models
Paper • 2410.02757 • Published • 36 -
LLaVA-Critic: Learning to Evaluate Multimodal Models
Paper • 2410.02712 • Published • 34 -
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
Paper • 2410.02707 • Published • 48 -
VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide
Paper • 2410.04364 • Published • 27 -
Pixtral 12B
Paper • 2410.07073 • Published • 60 -
Aria: An Open Multimodal Native Mixture-of-Experts Model
Paper • 2410.05993 • Published • 107 -
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
Paper • 2410.03450 • Published • 36 -
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
Paper • 2410.05983 • Published • 1 -
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning
Paper • 2410.06456 • Published • 35 -
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
Paper • 2410.09732 • Published • 54 -
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
Paper • 2410.10594 • Published • 22 -
Agent-as-a-Judge: Evaluate Agents with Agents
Paper • 2410.10934 • Published • 10 -
Movie Gen: A Cast of Media Foundation Models
Paper • 2410.13720 • Published • 88 -
Trust but Verify: Programmatic VLM Evaluation in the Wild
Paper • 2410.13121 • Published • 2 -
WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
Paper • 2410.12705 • Published • 29 -
Emergent properties with repeated examples
Paper • 2410.07041 • Published • 8 -
VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models
Paper • 2410.12851 • Published • 1 -
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
Paper • 2410.16268 • Published • 65 -
FrugalNeRF: Fast Convergence for Few-shot Novel View Synthesis without Learned Priors
Paper • 2410.16271 • Published • 80 -
OmniParser for Pure Vision Based GUI Agent
Paper • 2408.00203 • Published • 23 -
Can Knowledge Editing Really Correct Hallucinations?
Paper • 2410.16251 • Published • 54 -
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
Paper • 2410.18779 • Published • 1 -
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
Paper • 2410.19133 • Published • 11 -
LongReward: Improving Long-context Large Language Models with AI Feedback
Paper • 2410.21252 • Published • 16 -
EMMA: End-to-End Multimodal Model for Autonomous Driving
Paper • 2410.23262 • Published • 2 -
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
Paper • 2410.17434 • Published • 24 -
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders
Paper • 2410.22366 • Published • 73 -
Language Models can Self-Lengthen to Generate Long Texts
Paper • 2410.23933 • Published • 16 -
SelfCodeAlign: Self-Alignment for Code Generation
Paper • 2410.24198 • Published • 20 -
Face Anonymization Made Simple
Paper • 2411.00762 • Published • 7 -
From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond
Paper • 2411.03590 • Published • 9 -
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Paper • 2411.04905 • Published • 108 -
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Paper • 2411.04996 • Published • 48 -
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Paper • 2411.04709 • Published • 25 -
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding
Paper • 2409.03420 • Published • 25 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 136 -
FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?
Paper • 2411.05059 • Published • 1 -
Stronger Models are NOT Stronger Teachers for Instruction Tuning
Paper • 2411.07133 • Published • 28 -
Cut Your Losses in Large-Vocabulary Language Models
Paper • 2411.09009 • Published • 37 -
Rapid Response: Mitigating LLM Jailbreaks with a Few Examples
Paper • 2411.07494 • Published • 1 -
Generative World Explorer
Paper • 2411.11844 • Published • 55