Is this you? Claim this profile to correct it, add a bio and choose the work people see first.
Claim this profileWorks13 from public data
- GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding84
GliDe is a modified draft model architecture that reuses the cached keys and values from the target LLM, while CaPE is a proposal expansion method that uses the draft model's confidence scores to help select additional candidate tokens for verification.
- Employee profiling via aspect-based sentiment and network for insider threats detection61
A novel framework which performs employee profiling based on aspect-based sentiments and social network information is proposed and its applicability for early detection of potential insider threats is examined.
- NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset20
NoAHQA is introduced, a conversational and bilingual QA dataset with questions requiring numerical reasoning with compound mathematical expressions and a new QA model for generating a reasoning graph where the reasoning graph metric still has a large gap compared with that of humans.
- 3D Question Answering via only 2D Vision-Language Models12
It is believed that 2D LVLMs are currently the most effective alternative (of the resource-intensive 3D LVLMs) for addressing 3D tasks, while cdViews achieves state-of-the-art performance in 3D-QA while relying solely on 2D models without fine-tuning.
- COSY: COunterfactual SYntax for Cross-Lingual Understanding9
This work includes the design of SYntax-aware networks as well as a COunterfactual training method to implicitly force the networks to learn not only the semantics but also the syntax, based on the observation that universal syntax is transferable across different languages.
- 6
- Context Modeling with Evidence Filter for Multiple Choice Question Answering2
This work proposes a simple yet effective approach termed evidence filtering to model the relationships between the encoded contexts with respect to different options collectively, and to potentially highlight the evidence sentences and filter out unrelated sentences.
- 1
- –
- –
- –
- –
- Ensemble Based Error Minimization Reduction for ELM–
Experimental results on several UCI data sets show the algorithm proposed effective for promoting learning performance.
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 2026-10-12. 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.
Report an error
Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it.