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- Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark163
E evaluation of state-of-the-art MLLMs on EMMA reveals significant limitations in handling complex multimodal and multi-step reasoning tasks, even with advanced techniques like Chain-of-Thought prompting and test-time compute scaling underperforming, underscore the need for improved multimodal architectures and training paradigms to close the gap between human and model reasoning in multimodality.
- Distilling Knowledge Learned in BERT for Text Generation147
A novel approach, Conditional Masked Language Modeling (C-MLM), is presented to enable the finetuning of BERT on target generation tasks, which significantly outperforms strong Transformer baselines on multiple language generation tasks such as machine translation and text summarization.
- Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition104
This work proposes a deep Age-Invariant Model (AIM) for face recognition in the wild with three distinct novelties, and proposes a new large-scale Cross-Age Face Recognition (CAFR) benchmark dataset to facilitate existing efforts and push the frontiers of age-invariant face recognition research.
- Peptide-drug conjugates: A new paradigm for targeted cancer therapy88
Based on the structure and function of PDCs, the latest research progress on PDCs from the aspects of cancer cell-targeting peptide (CTP) selection, pharmacokinetic characteristics, stability regulation and so on were systematically reviewed, hoping to highlight the current problems and future development directions of PDCs.
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- 3D-Aided Deep Pose-Invariant Face Recognition83
A 3D-Aided Deep Pose-Invariant Face Recognition Model (3D-PIM), which automatically recovers realistic frontal faces from arbitrary poses through a 3D face model in a novel way, and demonstrates superiority of the proposed model over state-of-the-arts.
- What is the difference between augmented reality and 2D navigation electronic maps in pedestrian wayfinding?75
Augmented reality (AR) navigation aids have become widely used in pedestrian navigation, yet few studies have verified their usability from the perspective of human spatial cognition, such as visual attention, cognitive processing, and spatial memory.
- TileLang: A Composable Tiled Programming Model for AI Systems72
TileLang is presented, a generalized tiled programming model for more efficient AI Kernel programming that decouples scheduling space from dataflow, and encapsulated them as a set of customization annotations and primitives, allowing users to focus on the kernel's data-flow itself, while leaving most other optimizations to compilers.
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- Interleaving Reasoning for Better Text-to-Image Generation40
This work introduces Interleaving Reasoning Generation (IRG), a framework that alternates between text-based thinking and image synthesis: the model first produces a text-based thinking to guide an initial image, then reflects on the result to refine fine-grained details, visual quality, and aesthetics while preserving semantics.
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- Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding39
A novel Siamese Sampling and Reasoning Network (SSRN) for TSG is proposed, which introduces a siamese sampling mechanism to generate additional contextual frames to enrich and refine the new boundaries.
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- Diversity-Incentivized Exploration for Versatile Reasoning33
DIVER is proposed, an innovative framework that highlights the pivotal role of global sequence-level diversity to incentivize deep exploration for versatile reasoning and introduces global diversity incentives as an intrinsic reward to promote deep exploration in a semantically structured space.
- The recovery of the microbial community after plaque removal depends on periodontal health status33
It was found that the more severe the periodontal disease condition, the more lagged the recovery of plaque microorganisms to their original state after cleaning; this reflected a higher degree of plaque development in periodontitis samples.
- QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts30
This paper explores several MoE structure-aware quantization heuristics, ranging from coarse to fine granularity, from MoE block to individual linear weight, and reveals critical principles: different MoE structures require varying numbers of weight bits for effective and efficient quantization.
- Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning29
A training-free framework that aims to reduce hallucinations in Large Vision-Language Models by making the most of the innate capabilities of the LVLMs via multi-path reasoning for each information view to quantify and aggregate the certainty scores for each potential answer among multiple decoding paths and finally decide the output answer.
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- A Semantic Context-Based Model for MobileWeb Services Access Control22
A context ontology to represent contextual information and employ it in the inference engine of the SCBAC model is proposed, which uses semantic web rule language (SWRL) to form policy rule and infer those rules by JESS inference engine.
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- HASA-Net: A Non-Intrusive Hearing-Aid Speech Assessment Network20
This work proposes a DNN-based hearing aid speech assessment network (HASA-Net), formed by a bidirectional long short-term memory (BLSTM) model, to predict speech quality and intelligibility scores simultaneously according to input speech signals and specified hearing-loss patterns.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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