Search Results for author:
Found 14 papers, 11 papers with code
Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading
Large language models (LLMs) have advanced in large strides due to the effectiveness of the self-attention mechanism that processes and compares all tokens at once.
COLLIE: Systematic Construction of Constrained Text Generation Tasks
Text generation under constraints have seen increasing interests in natural language processing, especially with the rapidly improving capabilities of large language models.
C-STS: Conditional Semantic Textual Similarity
Semantic textual similarity (STS), a cornerstone task in NLP, measures the degree of similarity between a pair of sentences, and has broad application in fields such as information retrieval and natural language understanding.
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning
Large language models (LLMs) exploit in-context learning (ICL) to solve tasks with only a few demonstrations, but its mechanisms are not yet well-understood.
Controllable Text Generation with Language Constraints
We consider the task of text generation in language models with constraints specified in natural language.
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Existing benchmarks for grounding language in interactive environments either lack real-world linguistic elements, or prove difficult to scale up due to substantial human involvement in the collection of data or feedback signals.
Can Rationalization Improve Robustness?
Our experiments reveal that the rationale models show the promise to improve robustness, while they struggle in certain scenarios--when the rationalizer is sensitive to positional bias or lexical choices of attack text.
Non-Parametric Few-Shot Learning for Word Sense Disambiguation
One significant challenge in supervised all-words WSD is to classify among senses for a majority of words that lie in the long-tail distribution.
Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems
Existing goal-oriented dialogue datasets focus mainly on identifying slots and values.
Persistence of Flare-Driven Atmospheric Chemistry on Rocky Habitable Zone Worlds
Low-mass stars show evidence of vigorous magnetic activity in the form of large flares and coronal mass ejections.
Earth and Planetary Astrophysics Solar and Stellar Astrophysics
Autoregressive Knowledge Distillation through Imitation Learning
The performance of autoregressive models on natural language generation tasks has dramatically improved due to the adoption of deep, self-attentive architectures.
Ranked #21 on
Machine Translation
on IWSLT2014 German-English
Interactive Classification by Asking Informative Questions
We study the potential for interaction in natural language classification.
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
We study the problem of jointly reasoning about language and vision through a navigation and spatial reasoning task.
Ranked #10 on
Vision and Language Navigation
on Touchdown Dataset
