48 citations · 88 across the 13 of their papers we have counts for
14 papers
SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation
Hangfeng He, Hongming Zhang, Dan Roth
To comprehensively gauge the capacity of current models for complex reasoning, it is crucial to assess their step-by-step reasoning in a scalable manner. Established reference-base…
Towards Open-Domain Topic Classification
Hantian Ding, Jinrui Yang, Yuqian Deng +2
We introduce an open-domain topic classification system that accepts user-defined taxonomy in real time. Users will be able to classify a text snippet with respect to any candidate…
Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He, Hongming Zhang, Dan Roth
Despite the success of large language models (LLMs) in various natural language processing (NLP) tasks, the stored knowledge in these models may inevitably be incomplete, out-of-da…
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach
Jiayao Zhang, Hongming Zhang, Zhun Deng +1
Double-blind peer review mechanism has become the skeleton of academic research across multiple disciplines including computer science, yet several studies have questioned the qual…
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation
Ruixin Hong, Hongming Zhang, Xintong Yu +1
Knowing the reasoning chains from knowledge to the predicted answers can help construct an explainable question answering (QA) system. Advances on QA explanation propose to explain…
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
Jiayao Zhang, Hongming Zhang, Weijie J. Su +1
Commonsense causality reasoning (CCR) aims at identifying plausible causes and effects in natural language descriptions that are deemed reasonable by an average person. Although be…
Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset
Tianqing Fang, Weiqi Wang, Sehyun Choi +4
Reasoning over commonsense knowledge bases (CSKB) whose elements are in the form of free-text is an important yet hard task in NLP. While CSKB completion only fills the missing lin…
Learning Constraints and Descriptive Segmentation for Subevent Detection
Haoyu Wang, Hongming Zhang, Muhao Chen +1
Event mentions in text correspond to real-world events of varying degrees of granularity. The task of subevent detection aims to resolve this granularity issue, recognizing the mem…
Exophoric Pronoun Resolution in Dialogues with Topic Regularization
Xintong Yu, Hongming Zhang, Yangqiu Song +3
Resolving pronouns to their referents has long been studied as a fundamental natural language understanding problem. Previous works on pronoun coreference resolution (PCR) mostly f…
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema
Yanai Elazar, Hongming Zhang, Yoav Goldberg +1
The Winograd Schema (WS) has been proposed as a test for measuring commonsense capabilities of models. Recently, pre-trained language model-based approaches have boosted performanc…
ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities
Hongming Zhang, Xin Liu, Haojie Pan +4
Commonsense knowledge acquisition and reasoning have long been a core artificial intelligence problem. However, in the past, there has been a lack of scalable methods to collect co…
Unsupervised Label-aware Event Trigger and Argument Classification
Hongming Zhang, Haoyu Wang, Dan Roth
Identifying events and mapping them to pre-defined event types has long been an important natural language processing problem. Most previous work has been heavily relying on labor-…
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues
Xintong Yu, Hongming Zhang, Yangqiu Song +2
Grounding a pronoun to a visual object it refers to requires complex reasoning from various information sources, especially in conversational scenarios. For example, when people in…
Multilingual and Multi-Aspect Hate Speech Analysis
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang +2
Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks. In this paper, we present a new multilingual multi-aspect hate s…