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2020 – today
- 2024
[j4]Shehzaad Zuzar Dhuliawala, Mrinmaya Sachan, Carl Allen:
Variational Classification: A Probabilistic Generalization of the Softmax Classifier. Trans. Mach. Learn. Res. 2024 (2024)- [c98]Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold:
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. ACL (1) 2024: 1890-1912 - [c97]Ishan Agrawal, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Mrinmaya Sachan, Bernhard Schölkopf:
CausalCite: A Causal Formulation of Paper Citations. ACL (Findings) 2024: 8395-8410 - [c96]Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf:
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. ACL (1) 2024: 8420-8436 - [c95]Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan:
Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. ACL (Findings) 2024: 9707-9731 - [c94]Peng Cui, Vilém Zouhar, Xiaoyu Zhang, Mrinmaya Sachan:
How to Engage your Readers? Generating Guiding Questions to Promote Active Reading. ACL (1) 2024: 11749-11765 - [c93]Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell:
What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL (1) 2024: 12365-12379 - [c92]Furui Cheng
, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady:
RELIC: Investigating Large Language Model Responses using Self-Consistency. CHI 2024: 647:1-647:18 - [c91]Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nate B. Carlson, Nathaniel Romney Robinson, Mrinmaya Sachan, David R. Mortensen:
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. LREC/COLING 2024: 13344-13355 - [c90]Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. ECAI 2024: 2974-2982 - [c89]Tianyu Liu, Kevin Du, Mrinmaya Sachan, Ryan Cotterell:
Efficiently Computing Susceptibility to Context in Language Models. EMNLP (Findings) 2024: 6615-6626 - [c88]Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. EMNLP 2024: 8386-8411 - [c87]Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez Adauto, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan:
Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis. EMNLP (Findings) 2024: 9353-9372 - [c86]Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan:
Implicit Personalization in Language Models: A Systematic Study. EMNLP (Findings) 2024: 12309-12325 - [c85]Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan:
Towards Aligning Language Models with Textual Feedback. EMNLP 2024: 20240-20266 - [c84]Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf:
Can Large Language Models Infer Causation from Correlation? ICLR 2024 - [c83]Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? ICML 2024 - [c82]Xiaoyu Zhang, Jorge Henrique Piazentin Ono, Wenbin He, Liang Gou, Mrinmaya Sachan, Kwan-Liu Ma, Liu Ren:
Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer. IUI 2024: 274-287 - [c81]Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan:
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails. L@S 2024: 5-15 - [c80]Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell:
A Transformer with Stack Attention. NAACL-HLT (Findings) 2024: 4318-4335 - [c79]Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz:
The ART of LLM Refinement: Ask, Refine, and Trust. NAACL-HLT 2024: 5872-5883 - [c78]Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti:
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. NAACL-HLT 2024: 7096-7112 - [c77]Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, Roman Grundkiewicz, Marzena Karpinska, Maja Popovic, Mrinmaya Sachan, Mariya Shmatova:
Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation. WMT 2024: 1440-1453 - [i102]Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? CoRR abs/2401.18070 (2024) - [i101]Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan:
Scaling the Authoring of AutoTutors with Large Language Models. CoRR abs/2402.09216 (2024) - [i100]Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold:
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. CoRR abs/2402.11073 (2024) - [i99]Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf:
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. CoRR abs/2402.11655 (2024) - [i98]Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch:
Calibrating Large Language Models with Sample Consistency. CoRR abs/2402.13904 (2024) - [i97]Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan:
Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. CoRR abs/2403.03307 (2024) - [i96]Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan:
On the Causal Nature of Sentiment Analysis. CoRR abs/2404.11055 (2024) - [i95]Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea:
Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents. CoRR abs/2404.16698 (2024) - [i94]Abhinav Lalwani, Lovish Chopra, Christopher Hahn, Caroline Trippel, Zhijing Jin, Mrinmaya Sachan:
NL2FOL: Translating Natural Language to First-Order Logic for Logical Fallacy Detection. CoRR abs/2405.02318 (2024) - [i93]Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell:
A Transformer with Stack Attention. CoRR abs/2405.04515 (2024) - [i92]Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan:
Implicit Personalization in Language Models: A Systematic Study. CoRR abs/2405.14808 (2024) - [i91]Roberto Ceraolo, Dmitrii Kharlapenko, Amélie Reymond, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin:
CausalQuest: Collecting Natural Causal Questions for AI Agents. CoRR abs/2405.20318 (2024) - [i90]Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell:
On Affine Homotopy between Language Encoders. CoRR abs/2406.02329 (2024) - [i89]Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell:
What Do Language Models Learn in Context? The Structured Task Hypothesis. CoRR abs/2406.04216 (2024) - [i88]Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, Roman Grundkiewicz, Marzena Karpinska, Maja Popovic, Mrinmaya Sachan, Mariya Shmatova:
Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation. CoRR abs/2406.11580 (2024) - [i87]Vilém Zouhar, Tom Kocmi, Mrinmaya Sachan:
AI-Assisted Human Evaluation of Machine Translation. CoRR abs/2406.12419 (2024) - [i86]Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold:
DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation. CoRR abs/2406.14162 (2024) - [i85]Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda:
Confidence Regulation Neurons in Language Models. CoRR abs/2406.16254 (2024) - [i84]Zhijing Jin, Sydney Levine, Max Kleiman-Weiner, Giorgio Piatti, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf:
Multilingual Trolley Problems for Language Models. CoRR abs/2407.02273 (2024) - [i83]Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. CoRR abs/2407.09136 (2024) - [i82]Peng Cui, Vilém Zouhar, Xiaoyu Zhang, Mrinmaya Sachan:
How to Engage Your Readers? Generating Guiding Questions to Promote Active Reading. CoRR abs/2407.14309 (2024) - [i81]Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan:
Towards Aligning Language Models with Textual Feedback. CoRR abs/2407.16970 (2024) - [i80]Alessandro Vanzo, Sankalan Pal Chowdhury, Mrinmaya Sachan:
GPT-4 as a Homework Tutor can Improve Student Engagement and Learning Outcomes. CoRR abs/2409.15981 (2024) - [i79]Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. CoRR abs/2410.00004 (2024) - [i78]Buse Giledereli, Yifan Hou, Yilei Tu, Mrinmaya Sachan:
Do Vision-Language Models Really Understand Visual Language? CoRR abs/2410.00193 (2024) - [i77]Yilmazcan Özyurt, Stefan Feuerriegel, Mrinmaya Sachan:
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing. CoRR abs/2410.01727 (2024) - [i76]Romain Puech, Jakub Macina, Julia Chatain, Mrinmaya Sachan, Manu Kapur:
Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure. CoRR abs/2410.03781 (2024) - [i75]Shashank Sonkar, Xinghe Chen, Naiming Liu, Richard G. Baraniuk, Mrinmaya Sachan:
LLM-based Cognitive Models of Students with Misconceptions. CoRR abs/2410.12294 (2024) - [i74]Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs. CoRR abs/2410.13502 (2024) - [i73]Tianyu Liu, Kevin Du, Mrinmaya Sachan, Ryan Cotterell:
Efficiently Computing Susceptibility to Context in Language Models. CoRR abs/2410.14361 (2024) - [i72]Rongxing Liu, Kumar Shridhar, Manish Prajapat, Patrick Xia, Mrinmaya Sachan:
SMART: Self-learning Meta-strategy Agent for Reasoning Tasks. CoRR abs/2410.16128 (2024) - [i71]Shivam Adarsh, Kumar Shridhar, Caglar Gulcehre, Nicholas Monath, Mrinmaya Sachan:
SIKeD: Self-guided Iterative Knowledge Distillation for mathematical reasoning. CoRR abs/2410.18574 (2024) - 2023
- [c76]Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan:
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. ACL (1) 2023: 545-561 - [c75]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell:
A Formal Perspective on Byte-Pair Encoding. ACL (Findings) 2023: 598-614 - [c74]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell:
Tokenization and the Noiseless Channel. ACL (1) 2023: 5184-5207 - [c73]Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan:
Distilling Reasoning Capabilities into Smaller Language Models. ACL (Findings) 2023: 7059-7073 - [c72]Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold:
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. ACL (1) 2023: 7465-7488 - [c71]Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell:
Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. ACL (1) 2023: 7853-7872 - [c70]Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan:
World Models for Math Story Problems. ACL (Findings) 2023: 9088-9115 - [c69]Peng Cui, Mrinmaya Sachan:
Adaptive and Personalized Exercise Generation for Online Language Learning. ACL (1) 2023: 10184-10198 - [c68]Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick:
Membership Inference Attacks against Language Models via Neighbourhood Comparison. ACL (Findings) 2023: 11330-11343 - [c67]Zeming Liu, Ping Nie, Jie Cai, Haifeng Wang, Zheng-Yu Niu, Peng Zhang, Mrinmaya Sachan, Kaiping Peng:
XDailyDialog: A Multilingual Parallel Dialogue Corpus. ACL (1) 2023: 12240-12253 - [c66]Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan:
Automatic Educational Question Generation with Difficulty Level Controls. AIED 2023: 476-488 - [c65]Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan:
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. EACL 2023: 1303-1317 - [c64]Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan:
Longtonotes: OntoNotes with Longer Coreference Chains. EACL (Findings) 2023: 1398-1412 - [c63]Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong:
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. EACL (Findings) 2023: 2223-2229 - [c62]Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Opportunities and Challenges in Neural Dialog Tutoring. EACL 2023: 2349-2364 - [c61]Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea:
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. EMNLP (Findings) 2023: 415-438 - [c60]Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell:
Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. EMNLP 2023: 808-830 - [c59]Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan:
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. EMNLP 2023: 4902-4919 - [c58]Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady, Mrinmaya Sachan:
A Diachronic Perspective on User Trust in AI under Uncertainty. EMNLP 2023: 5567-5580 - [c57]Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. EMNLP (Findings) 2023: 5602-5621 - [c56]Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan:
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis. EMNLP 2023: 7035-7052 - [c55]Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash:
Revisiting Automated Topic Model Evaluation with Large Language Models. EMNLP 2023: 9348-9357 - [c54]Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan:
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. EMNLP (Findings) 2023: 11817-11831 - [c53]Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan:
Enhancing Textbooks with Visuals from the Web for Improved Learning. EMNLP 2023: 11931-11944 - [c52]Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas:
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. ICML 2023: 1200-1217 - [c51]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan:
Controlled Text Generation with Natural Language Instructions. ICML 2023: 42602-42613 - [c50]Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf:
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. NeurIPS 2023 - [i70]Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan:
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. CoRR abs/2301.09008 (2023) - [i69]Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Opportunities and Challenges in Neural Dialog Tutoring. CoRR abs/2301.09919 (2023) - [i68]Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong:
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. CoRR abs/2302.13496 (2023) - [i67]Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti:
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. CoRR abs/2303.17574 (2023) - [i66]Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nathaniel Carlson, Nathaniel R. Robinson, Mrinmaya Sachan, David R. Mortensen:
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. CoRR abs/2304.02541 (2023) - [i65]Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan:
Enhancing Textbooks with Visuals from the Web for Improved Learning. CoRR abs/2304.08931 (2023) - [i64]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan:
Controlled Text Generation with Natural Language Instructions. CoRR abs/2304.14293 (2023) - [i63]Zhiheng Lyu, Zhijing Jin, Justus Mattern, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf:
Psychologically-Inspired Causal Prompts. CoRR abs/2305.01764 (2023) - [i62]Fernando Gonzalez, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea:
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. CoRR abs/2305.05471 (2023) - [i61]Shehzaad Dhuliawala, Mrinmaya Sachan, Carl Allen:
Variational Classification. CoRR abs/2305.10406 (2023) - [i60]Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell:
Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus. CoRR abs/2305.11142 (2023) - [i59]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan:
Efficient Prompting via Dynamic In-Context Learning. CoRR abs/2305.11170 (2023) - [i58]Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash:
Re-visiting Automated Topic Model Evaluation with Large Language Models. CoRR abs/2305.12152 (2023) - [i57]Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan:
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. CoRR abs/2305.13304 (2023) - [i56]Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold:
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. CoRR abs/2305.14007 (2023) - [i55]Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. CoRR abs/2305.14536 (2023) - [i54]Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Ryan Cotterell:
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. CoRR abs/2305.14555 (2023) - [i53]Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan:
Understanding Arithmetic Reasoning in Language Models using Causal Mediation Analysis. CoRR abs/2305.15054 (2023) - [i52]Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell:
Learning the String Partial Order. CoRR abs/2305.15057 (2023) - [i51]Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick:
Membership Inference Attacks against Language Models via Neighbourhood Comparison. CoRR abs/2305.18462 (2023) - [i50]Peng Cui, Mrinmaya Sachan:
Adaptive and Personalized Exercise Generation for Online Language Learning. CoRR abs/2306.02457 (2023) - [i49]Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas:
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. CoRR abs/2306.03175 (2023) - [i48]Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan:
World Models for Math Story Problems. CoRR abs/2306.04347 (2023) - [i47]Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf:
Can Large Language Models Infer Causation from Correlation? CoRR abs/2306.05836 (2023) - [i46]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell:
A Formal Perspective on Byte-Pair Encoding. CoRR abs/2306.16837 (2023) - [i45]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell:
Tokenization and the Noiseless Channel. CoRR abs/2306.16842 (2023) - [i44]Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan:
Agents: An Open-source Framework for Autonomous Language Agents. CoRR abs/2309.07870 (2023) - [i43]Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady, Mrinmaya Sachan:
A Diachronic Perspective on User Trust in AI under Uncertainty. CoRR abs/2310.13544 (2023) - [i42]Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan:
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. CoRR abs/2310.13671 (2023) - [i41]Yifan Hou, Jiaoda Li, Yu Fei,