SPRO: Improving Image Generation via Self-Play
Recent advances in diffusion models have dramatically improved image fidelity and diversity. However, aligning these models with …
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SPRO: Improving Image Generation via Self-Play
Evaluating Variance in Visual Question Answering Benchmarks
Multimodal large language models (MLLMs) have emerged as powerful tools for visual question answering (VQA), enabling reasoning and …
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HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs
The integration of high-resolution image features in modern multimodal large language models has demonstrated significant improvements …
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HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
LLMs such as GPT-4 have shown a remarkable ability to solve complex questions by generating step-by-step rationales. Prior works have …
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Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
EOPose: Exemplar-based object reposing using Generalized Pose Correspondences
Reposing generic objects without the use of 3D models poses a significant challenge due to the absence of a standardized pose …
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EOPose: Exemplar-based object reposing using Generalized Pose Correspondences
AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment
Numerous pose-guided human editing methods have been explored by the vision community due to their extensive practical applications. …
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AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment
LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
Communication is defined as “Who says what to whom with what effect”. A message from a communicator generates downstream …
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LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
Measuring and Improving Persuasiveness of Large Language Models
LLMs are increasingly being used in workflows involving generating content to be consumed by humans (e.g., marketing) and also in …
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Measuring and Improving Persuasiveness of Large Language Models
It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation
Very large language models (LLMs) such as GPT-4 have shown the ability to handle complex tasks by generating and self-refining …
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It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation
Measuring And Improving Engagement of Text-to-Image Generation Models
Recent advances in text-to-image generation have achieved impressive aesthetic quality, making these models usable for both personal …
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Measuring And Improving Engagement of Text-to-Image Generation Models