Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers.
|
ACL |
2025 |
1 |
Are Language Models Consequentialist or Deontological Moral Reasoners?
|
EMNLP |
2025 |
4 |
Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone.
|
AAAI |
2025 |
31 |
DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal.
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ACL |
2025 |
15 |
Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models.
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EMNLP |
2025 |
1 |
Improving Large Language Model Safety with Contrastive Representation Learning.
|
EMNLP |
2025 |
4 |
Language Model Alignment in Multilingual Trolley Problems.
|
ICLR |
2025 |
0 |
Moûsai: Efficient Text-to-Music Diffusion Models.
|
ACL |
2024 |
42 |
Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents.
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NIPS/NeurIPS |
2024 |
65 |
On Affine Homotopy between Language Encoders.
|
NIPS/NeurIPS |
2024 |
6 |
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning.
|
EMNLP |
2024 |
8 |
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals.
|
ACL |
2024 |
35 |
Can Large Language Models Infer Causation from Correlation?
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ICLR |
2024 |
0 |
ALERT: Adapt Language Models to Reasoning Tasks.
|
ACL |
2023 |
9 |
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP.
|
ACL |
2023 |
9 |
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models.
|
NIPS/NeurIPS |
2023 |
57 |
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models.
|
ACL |
2023 |
0 |
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment.
|
NIPS/NeurIPS |
2022 |
119 |
Competing perspectives on building ethical AI: psychological, philosophical, and computational approaches.
|
Cognitive Science |
2022 |
0 |
Differentially Private Language Models for Secure Data Sharing.
|
EMNLP |
2022 |
74 |
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang.
|
ACL |
2022 |
25 |
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.
|
EMNLP |
2021 |
38 |
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings.
|
AISTATS |
2021 |
0 |
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation.
|
COLING |
2020 |
47 |
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis.
|
EMNLP |
2020 |
48 |
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles.
|
ACL |
2020 |
84 |
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment.
|
AAAI |
2020 |
0 |