most citedSarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO2026

TacGen: Touch Is a Necessary Dimension of Physical-World Representation -- Addressing Tactile Data Scarcity with Scalable Vision-to-Touch Alignment and Generation

Wanghao Ye, Aarosh Das, Sihan Chen +19

Touch resolves the physical-property ambiguity left by vision: exploratory contact recovers shape, texture, compliance, and material, and visuo-haptic object representations conver…

cs.CL20261 cited

Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques

Raina Gao, Alyssa Jeong, Lang Xiong +4

Sarcasm is a form of humor where expressions convey meanings opposite to their literal interpretations. Classifying and generating sarcasm using large language models is vital for…

cs.HC2026

Cognibit: From Digital Exhaustion to Real-World Connection Through Gamified Territory Control and LLM-Powered Twin Networking

Wanghao Ye, Sihan Chen, Yiting Wang +20

We present an LLM-powered social discovery platform that uses digital twins to autonomously evaluate interpersonal compatibility through behavioral simulation. The platform unifies…

cs.LG2026

: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness

Lang Xiong, Ning Liu, Ao Ren +6

Large language models (LLMs) face significant deployment challenges due to their massive computational demands. % While pruning offers a promising compression solution, existing me…

cs.CL2025

Probe-Rewrite-Evaluate: A Workflow for Reliable Benchmarks and Quantifying Evaluation Awareness

Lang Xiong, Nishant Bhargava, Jianhang Hong +4

Large Language Models (LLMs) often exhibit significant behavioral shifts when they perceive a change from a real-world deployment context to a controlled evaluation setting, a phen…