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Home/Authors/Xi Wang

Xi Wang

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

Sound×1Audio and Speech Processing×1Vision×1AI×1ML×1Info Retrieval×1NLP×1

Frequent co-authors

Liu He1×
Jiahong Yuan1×
Yuanchao Li1×
Eleftherios Tsonis1×
Vicky Kalogeiton1×
Feng Xia1×

Research Timeline

2026
Self-Compacting Language Model Agents

This paper proposes SelfCompact, a scaffold that allows models to decide when and how to compact long agent traces, improving summarization at a lower token cost.

What Images Cannot Say: Language-Guided Olfactory Representation Learning

The paper introduces SCENT, a multimodal framework that uses language guidance to align olfactory representations with visual and textual data, achieving state-of-the-art performance on crossmodal retrieval tasks.

When and How to Ask: Dynamic Preference Elicitation Strategies for Conversational Recommendation

This paper investigates the effectiveness of stage-dependent preference elicitation strategies in conversational recommendation systems and introduces COPE, a novel architecture for strategy modeling.

Correspondence Is Not Transfer: A Pairing-Controlled Study of Clinical Audio-Metadata Alignment

Aligning audio features with metadata improves profile retrieval and sex decoding

Highlighted terms show continued research focus across papers

Papers

cs.SDeess.ASEmpiricalRecentOct 26, 2026

Correspondence Is Not Transfer: A Pairing-Controlled Study of Clinical Audio-Metadata Alignment

Liu He, Xi Wang, Jiahong Yuan, Yuanchao Li

Aligning audio features with metadata improves profile retrieval and sex decoding

View →
cs.CVcs.AIcs.LGEmpirical
Recent
Jul 7, 2026

What Images Cannot Say: Language-Guided Olfactory Representation Learning

Eleftherios Tsonis, Xi Wang, Vicky Kalogeiton

The paper introduces SCENT, a multimodal framework that uses language guidance to align olfactory representations with visual and textual data, achieving state-of-the-art performance on crossmodal ret…

View →
cs.IREmpiricalRecentJul 7, 2026

When and How to Ask: Dynamic Preference Elicitation Strategies for Conversational Recommendation

Feng Xia, Shuo Zhang, Xi Wang

This paper investigates the effectiveness of stage-dependent preference elicitation strategies in conversational recommendation systems and introduces COPE, a novel architecture for strategy modeling.

View →
cs.CLEmpiricalRecentJun 22, 2026

Self-Compacting Language Model Agents

Tianjian Li, Jingyu Zhang, William Jurayj, Xi Wang +4 more

This paper proposes SelfCompact, a scaffold that allows models to decide when and how to compact long agent traces, improving summarization at a lower token cost.

View →