Papersby GlyphBaidu research papers
A company publishing mostly on inference and efficiency, best known here for When Tools Fail.16 papers · 105 citations · latest Oct 2026
FlashMask-3: Efficient and Expressive Mask-Aware Distributed AttentionFlashMask-3 accelerates long-context attention via a Hopper-optimized sparse-mask kernel and distributed context-parallel extensions that eliminate mask-communication overhead and improve training throughput.
Baidu11 upvotesRead →Virtual Head AttentionVirtual Head Attention improves long-context model efficiency by reducing KV cache and compute while preserving quality through lightweight linear query and output transformations.Baidu17 upvotesRead →Unlimited OCR WorksUnlimited OCR introduces Reference Sliding Window Attention to eliminate growing memory consumption during long-sequence OCR tasks, enabling efficient transcription of multiple pages in a single forward pass.Baidu9 citations90 upvotesRead →Memento: Reconstruct to Remember for Consistent Long Video GenerationMemento is a subject-reconstruction-guided framework that improves long-form video generation by preserving recurring subjects through memory-based reconstruction and dual-query mechanisms.Baidu6 citations18 upvotesRead →DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded ReasoningA multi-agent framework for deep research tasks that addresses planning, evidence acquisition, and report synthesis through decoupled components and dynamic optimization mechanisms.Baidu2 citations9 upvotesRead →When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM AgentsToolMaze benchmark reveals that real-world tool failures significantly degrade TIR performance, with implicit semantic failures causing the most severe drops and dynamic replanning emerging as a key bottleneck.Baidu28 citations27 upvotesRead →MapAgent: An Industrial-Grade Agentic Framework for City-scale Lane-level Map GenerationMapAgent is an industrial-grade agentic architecture that combines vision-language processing with constraint-aware reasoning to produce specification-compliant lane maps, achieving high automation rates in large-scale urban mapping.Baidu2 citations18 upvotesRead →Native Audio-Visual Alignment for GenerationNAVA enables joint audio-video generation with improved synchronization and controllability through native audio-visual alignment and context-conditioned denoising.Baidu8 citations31 upvotesRead →Measuring Maximum Activations in Open Large Language ModelsModern open LLMs exhibit wide variation in activation magnitudes across families and training stages, with maximum values spanning four orders of magnitude and showing complex scaling patterns that differ from simple size-based expectations.Baidu17 upvotesRead →EndPrompt: Efficient Long-Context Extension via Terminal AnchoringEndPrompt extends large language model context windows by using a two-segment training approach that preserves semantic continuity while enabling efficient long-range positional learning through sparse supervision.Baidu15 upvotesRead →AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement LearningA novel supervision-free credit assignment method for reinforcement learning in language model agents that adapts entropy dynamics at the response level to improve exploration-exploitation trade-offs and task performance.Baidu5 citations21 upvotesRead →Graph-Based Chain-of-Thought Pruning for Reducing Redundant Reflections in Reasoning LLMsA graph-based framework optimizes chain-of-thought reasoning in large language models by identifying and eliminating redundant thinking patterns through structured pruning and reinforcement learning techniques.Baidu2 citations12 upvotesRead →RefAlign: Representation Alignment for Reference-to-Video GenerationReference-to-video generation is enhanced through explicit feature alignment between diffusion transformers and visual foundation models, improving identity consistency and semantic discriminability while maintaining text controllability.Baidu9 citations2 upvotesRead →SAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video EditingSAMA presents a factorized approach to video editing that separates semantic anchoring from motion modeling, enabling instruction-guided edits with preserved motion through pre-trained motion restoration tasks and sparse anchor frame prediction.Baidu9 citations38 upvotesRead →Qianfan-OCR: A Unified End-to-End Model for Document IntelligenceQianfan-OCR is a 4B-parameter vision-language model that unifies document parsing, layout analysis, and understanding while maintaining strong performance across multiple OCR benchmarks through its Layout-as-Thought mechanism.Baidu25 citations155 upvotesRead →Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction PurificationLENS framework improves reinforcement learning with verifiable rewards by identifying and removing interference tokens to enhance exploration efficiency and training stability.Baidu12 upvotesRead →