Papers with iterative fashion
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues (P19-1)
Copied to clipboard
| Challenge: | Currently, retrieval-based dialogues are performed in shallow ways . a recent study investigated the problem of context-response matching in open-domain . |
| Approach: | They propose a model that lets utterance-response interaction go deep by stacking interaction blocks. |
| Outcome: | The proposed model outperforms state-of-the-art methods on three benchmark data sets. |
FoodTaxo: Generating Food Taxonomies with Large Language Models (2025.acl-industry)
Copied to clipboard
| Challenge: | a recent study shows that LLMs are useful for automating taxonomies from a seed taxonomy to a set of known concepts. |
| Approach: | They propose to use Large Language Models for automated taxonomy generation and completion. |
| Outcome: | The proposed approach is based on an open-source LLM (Llama-3). |
Answering Open-Domain Questions of Varying Reasoning Steps from Text (2021.emnlp-main)
Copied to clipboard
| Challenge: | a new benchmark is developed to answer open-domain questions from text . the system uses a single multi-task transformer model to perform all the necessary subtasks . |
| Approach: | They develop a unified system to answer directly from open-domain questions . they use a single multi-task transformer model to perform all the necessary subtasks . |
| Outcome: | The proposed system can answer open-domain questions on any text collection without prior knowledge of reasoning complexity. |
MILIE: Modular & Iterative Multilingual Open Information Extraction (2022.acl-long)
Copied to clipboard
Bhushan Kotnis, Kiril Gashteovski, Daniel Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence
| Challenge: | Current OpenIE systems extract all triple slots independently. |
| Approach: | They propose a neural OpenIE system that extracts triple slots iteratively . they propose to use the system to extract easy slots and difficult ones . |
| Outcome: | The proposed system outperforms SOTA systems on multiple languages ranging from Chinese to Arabic. |
Reasons to Reject? Aligning Language Models with Judgments (2024.findings-acl)
Copied to clipboard
| Challenge: | a new framework for aligning large language models with judgments is proposed to help with alignment . a framework that allows for fine-grained inappropriate content detection and correction based on judgments . large language model alignment is critical for making artificial intelligence a reliable ally for humanity . |
| Approach: | They propose a framework that allows for fine-grained inappropriate content detection and correction based on judgments. |
| Outcome: | The proposed framework beats the 175B DaVinci003 and improves on AlpacaEval using judgments. |