✨TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning

📝 Summary:
TourPlanner addresses travel planning challenges through multi-path reasoning and constraint-gated reinforcement learning to optimize both hard and soft constraints effectively. AI-generated summary T...

🔹 Publication Date: Published on Jan 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.04698
• PDF: https://arxiv.org/pdf/2601.04698

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✨AI-Researcher: Autonomous Scientific Innovation

📝 Summary:
AI-Researcher automates the scientific research process, achieving high implementation success and manuscript quality through a comprehensive benchmark system. AI-generated summary The powerful reason...

🔹 Publication Date: Published on May 24, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2505.18705
• PDF: https://arxiv.org/pdf/2505.18705
• Github: https://github.com/hkuds/ai-researcher

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✨PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning

📝 Summary:
Parallel Coordinated Reasoning enables large-scale test-time compute scaling beyond sequential reasoning limitations through parallel exploration and message-passing architecture. AI-generated summary...

🔹 Publication Date: Published on Jan 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.05593
• PDF: https://arxiv.org/pdf/2601.05593
• Github: https://github.com/stepfun-ai/PaCoRe

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✨Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning

📝 Summary:
VideoDR benchmark enables video question answering by combining cross-frame visual extraction, web retrieval, and multi-hop reasoning in open-domain settings. AI-generated summary In real-world video ...

🔹 Publication Date: Published on Jan 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.06943
• PDF: https://arxiv.org/pdf/2601.06943
• Github: https://github.com/QuantaAlpha/VideoDR-Benchmark

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✨Boosting Latent Diffusion Models via Disentangled Representation Alignment

📝 Summary:
Latent Diffusion Models generate high-quality images by operating in compressed latent space, typically obtained through image tokenizers such as Variational Autoencoders (VAEs). In pursuit of a gener...

🔹 Publication Date: Published on Jan 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.05823
• PDF: https://arxiv.org/pdf/2601.05823
• Github: https://github.com/Kwai-Kolors/Send-VAE

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✨ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration

📝 Summary:
ET-Agent is a training framework that calibrates tool-use behavior in large language models through self-evolving data flywheels and behavior calibration training to improve task execution effectivene...

🔹 Publication Date: Published on Jan 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.06860
• PDF: https://arxiv.org/pdf/2601.06860

🔹 Models citing this paper:
• https://huggingface.co/zhangboguodong/ET-Agent-based-on-Qwen2.5-7B-it

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✨Structured Episodic Event Memory

📝 Summary:
Structured Episodic Event Memory (SEEM) enhances LLMs with hierarchical memory architecture combining graph and episodic layers for improved narrative coherence and reasoning. AI-generated summary Cur...

🔹 Publication Date: Published on Jan 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.06411
• PDF: https://arxiv.org/pdf/2601.06411

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✨Lost in the Noise: How Reasoning Models Fail with Contextual Distractors

📝 Summary:
NoisyBench benchmark reveals significant performance degradation in state-of-the-art models when exposed to noisy contextual information, with agentic workflows amplifying errors and attention mechani...

🔹 Publication Date: Published on Jan 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.07226
• PDF: https://arxiv.org/pdf/2601.07226

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✨X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests

📝 Summary:
Code LLMs trained on fully synthetic data using a feature-based synthesis pipeline achieve superior performance on competitive programming benchmarks while reducing dependence on real-world coding dat...

🔹 Publication Date: Published on Jan 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.06953
• PDF: https://arxiv.org/pdf/2601.06953
• Github: https://github.com/JieWu02/X-Coder

🔹 Models citing this paper:
• https://huggingface.co/IIGroup/X-Coder-SFT-Qwen3-8B
• https://huggingface.co/IIGroup/X-Coder-SFT-Qwen2.5-7B
• https://huggingface.co/IIGroup/X-Coder-RL-Qwen2.5-7B

✨ Datasets citing this paper:
• https://huggingface.co/datasets/IIGroup/X-Coder-SFT-376k
• https://huggingface.co/datasets/IIGroup/X-Coder-RL-40k

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✨ShowUI-Aloha: Human-Taught GUI Agent

📝 Summary:
ShowUI-Aloha presents a pipeline that converts unstructured human screen recordings into structured GUI tasks through recording, semantic interpretation, planning, and execution components. AI-generat...

🔹 Publication Date: Published on Jan 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.07181
• PDF: https://arxiv.org/pdf/2601.07181
• Project Page: https://showlab.github.io/Aloha_Page/

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✨SketchJudge: A Diagnostic Benchmark for Grading Hand-drawn Diagrams with Multimodal Large Language Models

📝 Summary:
SketchJudge benchmark evaluates multimodal large language models' ability to grade hand-drawn STEM diagrams, revealing significant limitations in visual understanding compared to human performance. AI...

🔹 Publication Date: Published on Jan 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.06944
• PDF: https://arxiv.org/pdf/2601.06944

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✨BabyVision: Visual Reasoning Beyond Language

📝 Summary:
Current multimodal large language models exhibit significant gaps in fundamental visual understanding compared to human children, as demonstrated by the BabyVision benchmark. AI-generated summary Whil...

🔹 Publication Date: Published on Jan 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.06521
• PDF: https://arxiv.org/pdf/2601.06521

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✨3D CoCa v2: Contrastive Learners with Test-Time Search for Generalizable Spatial Intelligence

📝 Summary:
3D CoCa v2 enhances 3D captioning by combining contrastive vision-language learning with spatially-aware 3D scene encoding and test-time search for improved generalization across diverse environments....

🔹 Publication Date: Published on Jan 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.06496
• PDF: https://arxiv.org/pdf/2601.06496
• Github: https://github.com/AIGeeksGroup/3DCoCav2

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✨e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings

📝 Summary:
Omni-modal embedding models face challenges with modality-dependent similarity scaling, ineffective in-batch negatives, and mismatched statistics across modalities, which are addressed through explici...

🔹 Publication Date: Published on Jan 7

🔹 Paper Links:
• arXiv Page: https://huggingface.co/collections/Haon-Chen/e5-omni
• PDF: https://arxiv.org/pdf/2601.03666

🔹 Models citing this paper:
• https://huggingface.co/Haon-Chen/e5-omni-3B
• https://huggingface.co/Haon-Chen/e5-omni-7B

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✨MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era

📝 Summary:
MegaFlow is a distributed orchestration system for large-scale AI agent training and evaluation. It addresses the lack of open-source infrastructure by providing efficient scheduling, resource allocation, and task management through modular services. MegaFlow successfully handles tens of thousand...

🔹 Publication Date: Published on Jan 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.07526
• PDF: https://arxiv.org/pdf/2601.07526

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✨Dr. Zero: Self-Evolving Search Agents without Training Data

📝 Summary:
A data-free self-evolution framework enables large language models to autonomously improve reasoning capabilities through iterative question generation and solving, achieving performance comparable to...

🔹 Publication Date: Published on Jan 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.07055
• PDF: https://arxiv.org/pdf/2601.07055
• Github: https://github.com/facebookresearch/drzero

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✨GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts

📝 Summary:
Large reasoning models' inference latency can be reduced by routing reasoning steps to larger models based on the entropy of their first token, enabling efficient collaborative inference without addit...

🔹 Publication Date: Published on Jan 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.05110
• PDF: https://arxiv.org/pdf/2601.05110
• Github: https://github.com/Zengwh02/GlimpRouter

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✨OpenTinker: Separating Concerns in Agentic Reinforcement Learning

📝 Summary:
OpenTinker provides a modular infrastructure for reinforcement learning of large language model agents with separated components and managed execution runtime. AI-generated summary We introduce OpenTi...

🔹 Publication Date: Published on Jan 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2601.07376
• PDF: https://arxiv.org/pdf/2601.07376
• Project Page: https://open-tinker.github.io/opentinker-page/
• Github: https://github.com/open-tinker/OpenTinker

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✨On the Fallacy of Global Token Perplexity in Spoken Language Model Evaluation

📝 Summary:
Speech models trained on raw audio can generate appropriate content while maintaining speaker and emotion attributes, but traditional text-based evaluation methods underestimate speech characteristics...

🔹 Publication Date: Published on Jan 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.06329
• PDF: https://arxiv.org/pdf/2601.06329

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✨Are LLM Decisions Faithful to Verbal Confidence?

📝 Summary:
Large language models exhibit a disconnect between their expressed uncertainty and strategic decision-making under varying penalty conditions, failing to adjust abstention policies even when optimal. ...

🔹 Publication Date: Published on Jan 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.07767
• PDF: https://arxiv.org/pdf/2601.07767

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✨Codified Foreshadowing-Payoff Text Generation

📝 Summary:
Large language models struggle with maintaining long-range narrative dependencies, but a new framework called CFPG addresses this by structuring narrative continuity through executable causal predicat...

🔹 Publication Date: Published on Jan 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.07033
• PDF: https://arxiv.org/pdf/2601.07033

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