Christopher Lin — accepted AI-conference papers

2022

Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics

Hyundong Cho, Chinnadhurai Sankar, Christopher Lin, Kaushik Ram Sadagopan, Shahin Shayandeh, Asli Celikyilmaz +2

EMNLP 2022finding

Recent works that revealed the vulnerability of dialogue state tracking (DST) models to distributional shifts have made holistic comparisons on robustness and qualitative analyses increasingly important for understanding their relative performance. We present our findings from standardized and compr…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗

2021

Constrained Language Models Yield Few-Shot Semantic Parsers

Richard Shin, Christopher Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios +4

EMNLP 2021main

We explore the use of large pretrained language models as few-shot semantic parsers. The goal in semantic parsing is to generate a structured meaning representation given a natural language input. However, language models are trained to generate natural language. To bridge the gap, we use language m…

Cited by 80 Source ↗PDF ↗code ↗Scholar ↗

2016

Guided search for task and motion plans using learned heuristics

Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin +1

ICRA 2016

Tasks in mobile manipulation planning often require thousands of individual motions to complete. Such tasks require reasoning about complex goals as well as the feasibility of movements in configuration space. In discrete representations, planning complexity is exponential in the length of the plan.

Cited by 83 Source ↗Scholar ↗

2016

Sequential quadratic programming for task plan optimization

Dylan Hadfield-Menell, Christopher Lin, Rohan Chitnis, Stuart Russell, Pieter Abbeel

IROS 2016poster

We consider the problem of refining an abstract task plan into a motion trajectory. Task and motion planning is a hard problem that is essential to long-horizon mobile manipulation. Many approaches divide the problem into two steps: a search for a task plan and task plan refinement to find a feasibl…

Cited by 29 Source ↗Scholar ↗