✨Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes

📝 Summary:
Talk2Move presents a reinforcement learning-based diffusion framework that enables precise, semantically faithful spatial transformations of objects in scenes using natural language instructions. AI-g...

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02356
• PDF: https://arxiv.org/pdf/2601.02356
• Project Page: https://sparkstj.github.io/talk2move/
• Github: https://github.com/sparkstj/Talk2Move

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✨KV-Embedding: Training-free Text Embedding via Internal KV Re-routing in Decoder-only LLMs

📝 Summary:
KV-Embedding enables training-free representation learning from frozen LLMs by utilizing key-value states for enhanced context access and automated layer selection. AI-generated summary While LLMs are...

🔹 Publication Date: Published on Jan 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01046
• PDF: https://arxiv.org/pdf/2601.01046

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✨VINO: A Unified Visual Generator with Interleaved OmniModal Context

📝 Summary:
VINO is a unified visual generator that uses a shared diffusion backbone with multimodal inputs to perform image and video generation and editing tasks. AI-generated summary We present VINO, a unified...

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02358
• PDF: https://arxiv.org/pdf/2601.02358
• Project Page: https://sotamak1r.github.io/VINO-web/
• Github: https://github.com/SOTAMak1r/VINO-code

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✨K-EXAONE Technical Report

📝 Summary:
K-EXAONE is a multilingual language model with a Mixture-of-Experts architecture that achieves competitive performance on various benchmarks while supporting multiple languages and long-context window...

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01739
• PDF: https://arxiv.org/pdf/2601.01739
• Github: https://github.com/LG-AI-EXAONE/K-EXAONE

🔹 Models citing this paper:
• https://huggingface.co/LGAI-EXAONE/K-EXAONE-236B-A23B

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✨Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling

📝 Summary:
Falcon-H1R is a 7B-parameter language model that achieves competitive reasoning performance through efficient training strategies and architectural design, enabling scalable reasoning capabilities in ...

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02346
• PDF: https://arxiv.org/pdf/2601.02346

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✨OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment

📝 Summary:
OpenNovelty is an LLM-powered agentic system for verifiable scholarly novelty assessment in peer review. It retrieves and analyzes prior work via semantic search and taxonomy construction, generating evidence-backed reports grounded in real papers. This tool aims to promote fair, consistent, and ...

🔹 Publication Date: Published on Jan 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01576
• PDF: https://arxiv.org/pdf/2601.01576
• Project Page: https://www.opennovelty.org/
• Github: https://github.com/january-blue/OpenNovelty

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✨COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs

📝 Summary:
COMPASS evaluates large language models' compliance with organizational policies, revealing significant gaps in enforcing prohibitions despite strong performance on legitimate requests. AI-generated s...

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01836
• PDF: https://arxiv.org/pdf/2601.01836
• Github: https://github.com/AIM-Intelligence/COMPASS

🔹 Models citing this paper:
• https://huggingface.co/AIM-Intelligence/COMPASS_Qwen2.5-7B-Instruct_LoRA
• https://huggingface.co/AIM-Intelligence/COMPASS_gemma-3-4b-it_LoRA

✨ Datasets citing this paper:
• https://huggingface.co/datasets/AIM-Intelligence/COMPASS-Policy-Alignment-Testbed-Dataset
• https://huggingface.co/datasets/AIM-Intelligence/COMPASS-Policy-aware-SFT-Dataset

==================================

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✨Project Ariadne: A Structural Causal Framework for Auditing Faithfulness in LLM Agents

📝 Summary:
Project Ariadne uses structural causal models and counterfactual logic to evaluate the causal integrity of LLM reasoning, revealing a faithfulness gap where reasoning traces are not reliable drivers o...

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02314
• PDF: https://arxiv.org/pdf/2601.02314
• Github: https://github.com/skhanzad/AridadneXAI

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✨GARDO: Reinforcing Diffusion Models without Reward Hacking

📝 Summary:
Online reinforcement learning for diffusion model fine-tuning suffers from reward hacking due to proxy reward mismatches, which GARDO addresses through selective regularization, adaptive reference upd...

🔹 Publication Date: Published on Dec 30, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.24138
• PDF: https://arxiv.org/pdf/2512.24138
• Project Page: https://tinnerhrhe.github.io/gardo_project/
• Github: https://github.com/tinnerhrhe/gardo

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✨IMA++: ISIC Archive Multi-Annotator Dermoscopic Skin Lesion Segmentation Dataset

📝 Summary:
A large-scale public multi-annotator skin lesion segmentation dataset is introduced with extensive metadata for annotator analysis and consensus modeling. AI-generated summary Multi-annotator medical ...

🔹 Publication Date: Published on Dec 25, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.21472
• PDF: https://arxiv.org/pdf/2512.21472
• Github: https://github.com/sfu-mial/IMAplusplus

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✨Toward Stable Semi-Supervised Remote Sensing Segmentation via Co-Guidance and Co-Fusion

📝 Summary:
A semi-supervised remote sensing image segmentation framework combines vision-language and self-supervised models to reduce pseudo-label drift through dual-student architecture and semantic co-guidanc...

🔹 Publication Date: Published on Dec 28, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23035
• PDF: https://arxiv.org/pdf/2512.23035
• Project Page: https://xavierjiezou.github.io/Co2S/
• Github: https://github.com/XavierJiezou/Co2S

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✨Recursive Language Models

📝 Summary:
Recursive Language Models RLMs allow LLMs to process arbitrarily long prompts. RLMs programmatically decompose prompts and recursively call the LLM over snippets. This extends input length 100x and improves performance, even for shorter prompts, at similar cost.

🔹 Publication Date: Published on Dec 31, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.24601
• PDF: https://arxiv.org/pdf/2512.24601
• Github: https://github.com/alexzhang13/rlm/tree/main

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#LLMs #AI #NLP #RecursiveLMs #LongContext

✨InfiniteVGGT: Visual Geometry Grounded Transformer for Endless Streams

📝 Summary:
InfiniteVGGT enables continuous 3D visual geometry understanding for infinite streams. It uses a causal transformer with adaptive rolling memory for long-term stability, outperforming existing streaming methods. A new Long3D benchmark is introduced for rigorous evaluation of such systems.

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02281
• PDF: https://arxiv.org/pdf/2601.02281
• Github: https://github.com/AutoLab-SAI-SJTU/InfiniteVGGT

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#VisualGeometry #3DVision #Transformers #StreamingAI #DeepLearning

✨SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving

📝 Summary:
SWE-Lego achieves state-of-the-art software issue resolution through a lightweight supervised fine-tuning approach. It uses a high-quality dataset and refined training procedures like error masking and a difficulty-based curriculum, outperforming complex methods. Performance is further boosted by...

🔹 Publication Date: Published on Jan 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01426
• PDF: https://arxiv.org/pdf/2601.01426
• Project Page: https://github.com/SWE-Lego/SWE-Lego
• Github: https://github.com/SWE-Lego/SWE-Lego

🔹 Models citing this paper:
• https://huggingface.co/SWE-Lego/SWE-Lego-Qwen3-8B
• https://huggingface.co/SWE-Lego/SWE-Lego-Qwen3-32B

✨ Datasets citing this paper:
• https://huggingface.co/datasets/SWE-Lego/SWE-Lego-Real-Data
• https://huggingface.co/datasets/SWE-Lego/SWE-Lego-Synthetic-Data

==================================

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#SoftwareEngineering #MachineLearning #LLM #FineTuning #AIforCode

✨M-ErasureBench: A Comprehensive Multimodal Evaluation Benchmark for Concept Erasure in Diffusion Models

📝 Summary:
Existing concept erasure methods in diffusion models are vulnerable to non-text inputs. M-ErasureBench is a new multimodal evaluation framework, and IRECE is a module to restore robustness against these attacks, reducing concept reproduction.

🔹 Publication Date: Published on Dec 28, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22877
• PDF: https://arxiv.org/pdf/2512.22877

==================================

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#DiffusionModels #ConceptErasure #MultimodalAI #AISafety #MachineLearning

I recommend you to use this app for people who want to make software or apps faster

Just send an prompt you want and he will build the program for you

✨Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery

📝 Summary:
Materiomusic links matter's hierarchical structures to music's compositional logic through vibrational principles. Sound serves as a scientific probe, revealing how selective imperfection drives novelty in both. AI models can leverage this framework for creative invention beyond interpolation.

🔹 Publication Date: Published on Dec 30, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.00863
• PDF: https://arxiv.org/pdf/2601.00863
• Github: https://github.com/lamm-mit/MusicAnalysis

✨ Datasets citing this paper:
• https://huggingface.co/datasets/lamm-mit/scales-12tet-defects

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#GenerativeAI #ComputationalMusic #ComplexSystems #Creativity #Interdisciplinary

✨Confidence Estimation for LLMs in Multi-turn Interactions

📝 Summary:
This paper presents the first systematic study of confidence estimation in multi-turn LLM interactions, introducing a formal evaluation framework, novel metrics, and a Hinter-Guesser dataset paradigm. It reveals that current confidence techniques struggle with calibration and monotonicity in mult...

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02179
• PDF: https://arxiv.org/pdf/2601.02179

==================================

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#LLM #ConfidenceEstimation #ConversationalAI #NLP #AIResearch

✨DiffProxy: Multi-View Human Mesh Recovery via Diffusion-Generated Dense Proxies

📝 Summary:
DiffProxy generates multi-view consistent human proxies using diffusion models to improve human mesh recovery. This bridges synthetic training and real-world generalization, achieving state-of-the-art performance on real benchmarks.

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02267
• PDF: https://arxiv.org/pdf/2601.02267
• Project Page: https://wrk226.github.io/DiffProxy.html
• Github: https://github.com/wrk226/DiffProxy

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#HumanMeshRecovery #DiffusionModels #ComputerVision #DeepLearning #AI