Papers with TAP
Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts (D18-1)
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| Challenge: | Existing methods to extract information from text do not capture disparity between demographic groups. |
| Approach: | They propose a task of Textual Analogy Parsing to model higher-order meanings by comparing poverty rates between different demographic groups. |
| Outcome: | The proposed model can be used to generate graphs from quantitative text. |
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data (2021.findings-emnlp)
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| Challenge: | Existing methods to improve semantic parsing performance on target languages are limited. |
| Approach: | They propose a Translate-and-Fill method that produces silver training data for a multilingual semantic parser. |
| Outcome: | The proposed method produces silver training data for a multilingual parser. |
Steering Away from Refusal: A Black-box Jailbreak Method Based on First-Token Distribution (2026.findings-acl)
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| Challenge: | Existing methods to analyze black-box jailbreaks lack direct optimization signals to refine adversarial prompts. |
| Approach: | They propose a distribution-jailbreak attack method that selects effective jailbreak templates and iteratively optimizes adversarial suffixes by maximizing the KL divergence from the standard refusal distribution. |
| Outcome: | The proposed method achieves state-of-the-art Attack Success Rate (ASR) on all tested open-source models and delivers over 94% ASR on GPT-4.1. |
UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt (2024.lrec-main)
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| Challenge: | Recent studies have shown that multi-task instruction tuning after pre-training greatly improves the model’s robustness and transfer ability, which is crucial for building a high-quality dialog system. |
| Approach: | They propose to use Task-aware Automatic Prompt generation (TAP) to automatically generate high-quality prompts from 15 dialog-related tasks. |
| Outcome: | The proposed model is robust to input prompts and capable of various dialog-related tasks. |