activity
20192026
most citedGradient-based Editing of Memory Examples for Online Task-free Continual Learning

40 citations · 54 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CR2026

LATTICE: Evaluating Decision Support Utility of Crypto Agents

Aaron Chan, Tengfei Li, Tianyi Xiao +3

We introduce LATTICE, a benchmark for evaluating the decision support utility of crypto agents in realistic user-facing scenarios. Prior crypto agent benchmarks mainly focus on rea…

cs.CR2026

Proof-of-Guardrail in AI Agents and What (Not) to Trust from It

Xisen Jin, Michael Duan, Qin Lin +4

As AI agents become widely deployed as online services, users often rely on an agent developer's claim about how safety is enforced, which introduces a threat where safety measures…

stat.ML2020★ 40 cited

Gradient-based Editing of Memory Examples for Online Task-free Continual Learning

Xisen Jin, Arka Sadhu, Junyi Du +1

We explore task-free continual learning (CL), in which a model is trained to avoid catastrophic forgetting in the absence of explicit task boundaries or identities. Among many effo…

cs.CL2020★ 4 cited

Visually Grounded Continual Learning of Compositional Phrases

Xisen Jin, Junyi Du, Arka Sadhu +2

Humans acquire language continually with much more limited access to data samples at a time, as compared to contemporary NLP systems. To study this human-like language acquisition…

cs.CL2020★ 4 cited

A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos

Frank F. Xu, Lei Ji, Botian Shi +4

Watching instructional videos are often used to learn about procedures. Video captioning is one way of automatically collecting such knowledge. However, it provides only an indirec…

cs.CL2019★ 4 cited

Improving BERT Fine-tuning with Embedding Normalization

Wenxuan Zhou, Junyi Du, Xiang Ren

Large pre-trained sentence encoders like BERT start a new chapter in natural language processing. A common practice to apply pre-trained BERT to sequence classification tasks (e.g.…