Igor Melnyk

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upvoted a paper 16 days ago

An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Paper • 2406.09415 • Published 16 days ago • 47

upvoted a paper about 1 month ago

ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models

Paper • 2405.09220 • Published May 15 • 23

upvoted 3 papers about 2 months ago

Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3

Paper • 2405.00664 • Published May 1 • 18

A Careful Examination of Large Language Model Performance on Grade School Arithmetic

Paper • 2405.00332 • Published May 1 • 30

Better & Faster Large Language Models via Multi-token Prediction

Paper • 2404.19737 • Published Apr 30 • 65

upvoted 8 papers 2 months ago

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Paper • 2404.18796 • Published Apr 29 • 67

Multi-Head Mixture-of-Experts

Paper • 2404.15045 • Published Apr 23 • 55

SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22 • 23

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Paper • 2404.13208 • Published Apr 19 • 38

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18 • 51

Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models

Paper • 2404.12387 • Published Apr 18 • 36

BLINK: Multimodal Large Language Models Can See but Not Perceive

Paper • 2404.12390 • Published Apr 18 • 23

Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15 • 80

upvoted 28 papers 3 months ago

Pre-training Small Base LMs with Fewer Tokens

Paper • 2404.08634 • Published Apr 12 • 32

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 80

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 28

RULER: What's the Real Context Size of Your Long-Context Language Models?

Paper • 2404.06654 • Published Apr 9 • 32

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Paper • 2404.07143 • Published Apr 10 • 97

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9 • 62

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance

Paper • 2404.04125 • Published Apr 4 • 27

Stream of Search (SoS): Learning to Search in Language

Paper • 2404.03683 • Published Apr 1 • 21

AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent

Paper • 2404.03648 • Published Apr 4 • 22

LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models

Paper • 2404.03118 • Published Apr 3 • 19

ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4 • 74

Training LLMs over Neurally Compressed Text

Paper • 2404.03626 • Published Apr 4 • 21

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Paper • 2404.02893 • Published Apr 3 • 19

Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 41

Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2 • 33

Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward

Paper • 2404.01258 • Published Apr 1 • 10

Gecko: Versatile Text Embeddings Distilled from Large Language Models

Paper • 2403.20327 • Published Mar 29 • 47

ReALM: Reference Resolution As Language Modeling

Paper • 2403.20329 • Published Mar 29 • 20

Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 99

LITA: Language Instructed Temporal-Localization Assistant

Paper • 2403.19046 • Published Mar 27 • 16

Long-form factuality in large language models

Paper • 2403.18802 • Published Mar 27 • 23

Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUs

Paper • 2403.17607 • Published Mar 26 • 7

The Unreasonable Ineffectiveness of the Deeper Layers

Paper • 2403.17887 • Published Mar 26 • 75

LLM Agent Operating System

Paper • 2403.16971 • Published Mar 25 • 63

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 30

Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs

Paper • 2403.12596 • Published Mar 19 • 9

Larimar: Large Language Models with Episodic Memory Control

Paper • 2403.11901 • Published Mar 18 • 30

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

Paper • 2403.09704 • Published Mar 8 • 29

upvoted 19 papers 4 months ago

Gemma: Open Models Based on Gemini Research and Technology

Paper • 2403.08295 • Published Mar 13 • 44

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12 • 37

Multistep Consistency Models

Paper • 2403.06807 • Published Mar 11 • 13

VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 24

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Paper • 2403.05135 • Published Mar 8 • 40

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error

Paper • 2403.04746 • Published Mar 7 • 21

Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7 • 46

Design2Code: How Far Are We From Automating Front-End Engineering?

Paper • 2403.03163 • Published Mar 5 • 92

Learning and Leveraging World Models in Visual Representation Learning

Paper • 2403.00504 • Published Mar 1 • 26

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Paper • 2402.17177 • Published Feb 27 • 88

Video as the New Language for Real-World Decision Making

Paper • 2402.17139 • Published Feb 27 • 18

ChatMusician: Understanding and Generating Music Intrinsically with LLM

Paper • 2402.16153 • Published Feb 25 • 55

Do Large Language Models Latently Perform Multi-Hop Reasoning?

Paper • 2402.16837 • Published Feb 26 • 24

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Paper • 2402.14848 • Published Feb 19 • 18

Watermarking Makes Language Models Radioactive

Paper • 2402.14904 • Published Feb 22 • 22

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition

Paper • 2402.15504 • Published Feb 23 • 20

OmniPred: Language Models as Universal Regressors

Paper • 2402.14547 • Published Feb 22 • 11

T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching

Paper • 2402.14167 • Published Feb 21 • 9

In deep reinforcement learning, a pruned network is a good network

Paper • 2402.12479 • Published Feb 19 • 16