259 citations · 1.2k across the 111 of their papers we have counts for
132 papers
Representation-Aligned Auxiliary Supervision for Language Model Adaptation
Kyuyoung Kim, Peiyao Sheng, Ashwin Hebbar +9
Language models exhibit strong reasoning capabilities, yet adapting them to structured domains remains challenging and can yield inconsistent outcomes. We identify representation c…
MegaFlux: Skew-Resilient MoE Megakernels via Pipelined Expert Replication
Jianzhu Yao, Siva Kumar Sastry Hari, Vignesh Balaji +4
Mixture-of-experts (MoE) megakernels fuse expert-parallel communication with expert computation. However, under fixed expert placement, routing skew creates GPU stragglers: overloa…
Argus: Orchestrating Cross-Layer GPU Performance Measurements around Semantic Regions
Jianzhu Yao, Yue Guan, Srivatsan Ramesh +11
GPU developers and automated optimizers need performance evidence for semantic code regions--such as neural-network operator implementations and pipeline stages--but this evidence…
AhaBench: Do Agents Turn Experience into Reusable Insights? A Long-Horizon Benchmark for Continual Learning
Zerui Cheng, Jiawei Xu, Huacan Chai +3
Can language agents continually learn from experience, turning earlier interactions into reusable capabilities? AhaBench evaluates this ability through exploration after solved hid…
LOPMM: A Low-Order Parlay Market Maker
Niusha Moshrefi, Ranvir Rana, Pramod Viswanath
Parlays - joint contracts on the simultaneous resolution of several events - are among the most heavily traded products in betting markets, but prediction markets have struggled to…
Hallucinations on the Board: Tool-Augmented Evaluation of LLM Chess Commentary
S. Ashwin Hebbar, Peiyao Sheng, Sewoong Oh +1
Superhuman game engines in domains like chess have made expert-level evaluations easily accessible, yet they communicate what is true without the natural-language explanations that…