---
title: "University of Southern California — works"
description: "86 works by researchers of University of Southern California in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/university-of-southern-california/works/"
---
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# Works of University of Southern California

86 works · the most cited first · [← University of Southern California](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/)

1. [**Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics**Chin-Yew Lin, Eduard Hovy*2003 · 1,967 citations*](https://md.research.elamur.ai/free/en/papers/lin-2003-automatic-evaluation-summaries-n-gram/)
2. [**Survey Article: Inter-Coder Agreement for Computational Linguistics**Ron Artstein, Massimo Poesio*2008 · 1,770 citations*](https://md.research.elamur.ai/free/en/papers/artstein-2008-survey-article-inter-coder-agreement/)
3. [**Determining the Sentiment of Opinions**Soo-Min Kim, Eduard Hovy*2004 · 1,677 citations*](https://md.research.elamur.ai/free/en/papers/kim-2004-determining-sentiment-opinions/)
4. [**A Syntax-based Statistical Translation Model**Kenji Yamada, Kevin Knight*2001 · 1,018 citations*](https://md.research.elamur.ai/free/en/papers/yamada-2001-syntax-based-statistical-translation-model/)
5. [**GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints**Joshua Ainslie, James Lee-Thorp, Michiel de Jong, et al.*2023 · 1,012 citations*](https://md.research.elamur.ai/free/en/papers/ainslie-2023-gqa-training-generalized-multi-query/)
6. [**Learning surface text patterns for a Question Answering System**Deepak Ravichandran, Eduard Hovy*2002 · 970 citations*](https://md.research.elamur.ai/free/en/papers/ravichandran-2002-learning-surface-text-patterns-question/)
7. [**Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics**Chin-Yew Lin, Franz Josef Och*2004 · 937 citations*](https://md.research.elamur.ai/free/en/papers/lin-2004-automatic-evaluation-machine-translation-quality/)
8. [**Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory**Lynn Carlson, Daniel Marcu, Mary Ellen Okurovsky*2001 · 912 citations*](https://md.research.elamur.ai/free/en/papers/carlson-2001-building-discourse-tagged-corpus-framework/)
9. [**The Woman Worked as a Babysitter: On Biases in Language Generation**Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, et al.*2019 · 751 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2019-woman-worked-as-babysitter-biases/)
10. [**ProgPrompt: Generating Situated Robot Task Plans using Large Language Models**Ishika Singh, Valts Blukis, Arsalan Mousavian, et al.*2022 · 710 citations*](https://md.research.elamur.ai/free/en/papers/singh-2022-progprompt-generating-situated-robot-task/)
11. [**Style Transfer in Text: Exploration and Evaluation**Zhenxin Fu, Xiaoye Tan, Nanyun Peng, et al.*2017 · 701 citations*](https://md.research.elamur.ai/free/en/papers/fu-2017-style-transfer-text-exploration-evaluation/)
12. [**Espresso: Leveraging Generic Patterns for Automatically Harvesting Semantic Relations**Patrick Pantel, Marco Pennacchiotti*2006 · 680 citations*](https://md.research.elamur.ai/free/en/papers/pantel-2006-espresso-leveraging-generic-patterns-automatically/)
13. [**Cross-lingual Name Tagging and Linking for 282 Languages**Xiaoman Pan, Boliang Zhang, Jonathan May, et al.*2017 · 668 citations*](https://md.research.elamur.ai/free/en/papers/pan-2017-cross-lingual-name-tagging-linking/)
14. [**A Phrase-Based,Joint Probability Model for Statistical Machine Translation**Daniel Marcu, Daniel Wong*2002 · 661 citations*](https://md.research.elamur.ai/free/en/papers/marcu-2002-phrase-based-joint-probability-model/)
15. [**Scalable Inference and Training of Context-Rich Syntactic Translation Models**Michel Galley, Jonathan Graehl, Kevin Knight, et al.*2006 · 638 citations*](https://md.research.elamur.ai/free/en/papers/galley-2006-scalable-inference-training-context-rich/)
16. [**Towards a Unified View of Parameter-Efficient Transfer Learning**Junxian He, Chunting Zhou, Xuezhe Ma, et al.*2021 · 604 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-towards-unified-view-parameter-efficient/)
17. [**The Automated Acquisition of Topic Signatures for Text Summarization**Chin-Yew Lin, Eduard Hovy*2000 · 585 citations*](https://md.research.elamur.ai/free/en/papers/lin-2000-automated-acquisition-topic-signatures-text/)
18. [**A Robustly Optimized BERT Pre-training Approach with Post-training**Liu Zhuang, Lin Wayne, Shi Ya, et al.*2021 · 585 citations*](https://md.research.elamur.ai/free/en/papers/zhuang-2021-robustly-optimized-bert-pre-training/)
19. [**Improving Machine Translation Performance by Exploiting Non-Parallel Corpora**Dragos Stefan Munteanu, Daniel Marcu*2005 · 576 citations*](https://md.research.elamur.ai/free/en/papers/munteanu-2005-improving-machine-translation-performance-exploiting/)
20. [**Sentence Level Discourse Parsing using Syntactic and Lexical Information**Radu Soricut, Daniel Marcu*2003 · 560 citations*](https://md.research.elamur.ai/free/en/papers/soricut-2003-sentence-level-discourse-parsing-syntactic/)
21. [**Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text**Soo-Min Kim, Eduard Hovy*2006 · 559 citations*](https://md.research.elamur.ai/free/en/papers/kim-2006-extracting-opinions-opinion-holders-topics/)
22. [**Generation that Exploits Corpus-Based Statistical Knowledge**Irene Langkilde, Kevin Knight*1998 · 521 citations*](https://md.research.elamur.ai/free/en/papers/langkilde-1998-generation-that-exploits-corpus-based/)
23. [**An Unsupervised Approach to Recognizing Discourse Relations**Daniel Marcu, Abdessamad Echihabi*2002 · 513 citations*](https://md.research.elamur.ai/free/en/papers/marcu-2002-unsupervised-approach-recognizing-discourse-relations/)
24. [**Empirical Methods for Compound Splitting**Philipp Koehn, Kevin Knight*2003 · 507 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2003-empirical-methods-compound-splitting/)
25. [**Does String-Based Neural MT Learn Source Syntax?**Xing Shi, Inkit Padhi, Kevin Knight*2016 · 492 citations*](https://md.research.elamur.ai/free/en/papers/shi-2016-does-string-based-neural-mt/)
26. [**Multi-Source Neural Translation**Barret Zoph, Kevin Knight*2016 · 432 citations*](https://md.research.elamur.ai/free/en/papers/zoph-2016-multi-source-neural-translation/)
27. [**Empower Sequence Labeling with Task-Aware Neural Language Model**Liyuan Liu, Jingbo Shang, Frank F. Xu, et al.*2017 · 419 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-empower-sequence-labeling-task-aware/)
28. [**Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations**Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran*2022 · 415 citations*](https://md.research.elamur.ai/free/en/papers/davani-2022-dealing-disagreements-looking-beyond-majority/)
29. [**LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models**Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li*2023 · 379 citations*](https://md.research.elamur.ai/free/en/papers/guha-2023-legalbench-collaboratively-built-benchmark-measuring/)
30. [**AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models**Xiaogeng Liu, Nan Xu, Muhao Chen, et al.*2023 · 333 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-autodan-generating-stealthy-jailbreak-prompts/)
31. [**Learning a Translation Lexicon from Monolingual Corpora**Philipp Koehn, Kevin Knight*2002 · 332 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2002-learning-translation-lexicon-monolingual-corpora/)
32. [**LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion**Dongfu Jiang, Xiang Ren, Bill Yuchen Lin*2023 · 314 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2023-llm-blender-ensembling-large-language/)
33. [**Decoding with Large-Scale Neural Language Models Improves Translation**Ashish Vaswani, Yinggong Zhao, Victoria Fossum, et al.*2013 · 314 citations*](https://md.research.elamur.ai/free/en/papers/vaswani-2013-decoding-large-scale-neural-language/)
34. [**Fast Decoding and Optimal Decoding for Machine Translation**Ulrich Germann, Michael Jahr, Kevin Knight, et al.*2001 · 312 citations*](https://md.research.elamur.ai/free/en/papers/germann-2001-fast-decoding-optimal-decoding-machine/)
35. [**WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation**Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.*2022 · 312 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-wanli-worker-ai-collaboration-natural/)
36. [**Learning Named Entity Tagger using Domain-Specific Dictionary**Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/shang-2018-learning-named-entity-tagger-domain/)
37. [**Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering**Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, et al.*2020 · 295 citations*](https://md.research.elamur.ai/free/en/papers/feng-2020-scalable-multi-hop-relational-reasoning/)
38. [**Syntax-based Alignment of Multiple Translations: Extracting Paraphrases and Generating New Sentences**Bo Pang, Kevin Knight, Daniel Marcu*2003 · 289 citations*](https://md.research.elamur.ai/free/en/papers/pang-2003-syntax-based-alignment-multiple-translations/)
39. [**The rhetorical parsing of unrestricted texts: a surface-based approach**Daniel Marcu*2000 · 281 citations*](https://md.research.elamur.ai/free/en/papers/marcu-2000-rhetorical-parsing-unrestricted-texts-surface/)
40. [**Generate rather than Retrieve: Large Language Models are Strong Context Generators**Wenhao Yu, Dan Iter, Shuohang Wang, et al.*2022 · 280 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-generate-rather-than-retrieve-large/)
41. [**Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs**Zornitsa Kozareva, Ellen Riloff, Eduard Hovy*2008 · 273 citations*](https://md.research.elamur.ai/free/en/papers/kozareva-2008-semantic-class-learning-web-hyponym/)
42. [**Toward Semantics-Based Answer Pinpointing**Eduard Hovy, Laurie Gerber, Ulf Hermjakob, et al.*2001 · 263 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2001-semantics-based-answer-pinpointing/)
43. [**Societal Biases in Language Generation: Progress and Challenges**Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al.*2021 · 252 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2021-societal-biases-language-generation-progress/)
44. [**Factuality Challenges in the Era of Large Language Models**Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.*2023 · 241 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/)
45. [**Structured Perceptron with Inexact Search**Liang Huang, Suphan Fayong, Yang Guo*2012 · 235 citations*](https://md.research.elamur.ai/free/en/papers/huang-2012-structured-perceptron-inexact-search/)
46. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
47. [**Unsupervised Event Coreference Resolution with Rich Linguistic Features**Cosmin Bejan, Sanda Harabagiu*2010 · 233 citations*](https://md.research.elamur.ai/free/en/papers/bejan-2010-unsupervised-event-coreference-resolution-rich/)
48. [**DEGREE: A Data-Efficient Generation-Based Event Extraction Model**I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, et al.*2022 · 227 citations*](https://md.research.elamur.ai/free/en/papers/hsu-2022-degree-data-efficient-generation-based/)
49. [**TrustLLM: Trustworthiness in Large Language Models**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
50. [**Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models**Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, et al.*2020 · 216 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-birds-have-four-legs-numersense/)
51. [**AlpaGasus: Training A Better Alpaca with Fewer Data**Lichang Chen, Shiyang Li, Jun Yan, et al.*2023 · 214 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-alpagasus-training-better-alpaca-fewer/)
52. [**SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning**Andrew Gordon, Zornitsa Kozareva, Melissa Roemmele*2012 · 211 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2012-semeval-2012-task-7-choice/)
53. [**Contextualizing Hate Speech Classifiers with Post-hoc Explanation**Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, et al.*2020 · 203 citations*](https://md.research.elamur.ai/free/en/papers/kennedy-2020-contextualizing-hate-speech-classifiers-post/)
54. [**SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization**Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al.*2023 · 201 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-soda-million-scale-dialogue-distillation/)
55. [**Anaphoric Annotation in the ARRAU Corpus**Massimo Poesio, Ron Artstein*2008 · 197 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2008-anaphoric-annotation-arrau-corpus/)
56. [**Semantics-Based Machine Translation with Hyperedge Replacement Grammars**Bevan Jones, Jacob Andreas, Daniel Bauer, et al.*2012 · 180 citations*](https://md.research.elamur.ai/free/en/papers/jones-2012-semantics-based-machine-translation-hyperedge/)
57. [**On Releasing Annotator-Level Labels and Information in Datasets**Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Diaz*2021 · 168 citations*](https://md.research.elamur.ai/free/en/papers/prabhakaran-2021-releasing-annotator-level-labels-information/)
58. [**Parsing Arabic Dialects**David Chiang, Mona Diab, Nizar Habash, et al.*2006 · 166 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2006-parsing-arabic-dialects/)
59. [**Towards Controllable Biases in Language Generation**Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al.*2020 · 166 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2020-controllable-biases-language-generation/)
60. [**Leveraging Large Language Models for Multiple Choice Question Answering**Joshua Robinson, Christopher Michael Rytting, David Wingate*2022 · 154 citations*](https://md.research.elamur.ai/free/en/papers/robinson-2022-leveraging-large-language-models-multiple/)
61. [**TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions**Qiang Ning, Hao Wu, Rujun Han, et al.*2020 · 149 citations*](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/)
62. [**SCOTT: Self-Consistent Chain-of-Thought Distillation**Peifeng Wang, Zhengyang Wang, Zheng Li, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-scott-self-consistent-chain-thought/)
63. [**Context-faithful Prompting for Large Language Models**Wenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-context-faithful-prompting-large-language/)
64. [**Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step**Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-symbolic-chain-thought-distillation-small/)
65. [**Generating English from Abstract Meaning Representations**Nima Pourdamghani, Kevin Knight, Ulf Hermjakob*2016 · 111 citations*](https://md.research.elamur.ai/free/en/papers/pourdamghani-2016-generating-english-abstract-meaning-representations/)
66. [**Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation**Michael Pust, Ulf Hermjakob, Kevin Knight, et al.*2015 · 109 citations*](https://md.research.elamur.ai/free/en/papers/pust-2015-parsing-english-into-abstract-meaning/)
67. [**R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge**Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, et al.*2020 · 86 citations*](https://md.research.elamur.ai/free/en/papers/chakrabarty-2020-r-textasciicircum3-reverse-retrieve-rank/)
68. [**Maximum Entropy Models for FrameNet Classification**Michael Fleischman, Namhee Kwon, Eduard Hovy*2003 · 86 citations*](https://md.research.elamur.ai/free/en/papers/fleischman-2003-maximum-entropy-models-framenet-classification/)
69. [**Finding the Optimal Vocabulary Size for Neural Machine Translation**Thamme Gowda, Jonathan May*2020 · 72 citations*](https://md.research.elamur.ai/free/en/papers/gowda-2020-finding-optimal-vocabulary-size-neural/)
70. [**Infusing Knowledge from Wikipedia to Enhance Stance Detection**Zihao He, Negar Mokhberian, Kristina Lerman*2022 · 72 citations*](https://md.research.elamur.ai/free/en/papers/he-2022-infusing-knowledge-wikipedia-enhance-stance/)
71. [**A Typology of Near-Identity Relations for Coreference (NIDENT)**Marta Recasens, Eduard Hovy, M. Antònia Martí*2010 · 67 citations*](https://md.research.elamur.ai/free/en/papers/recasens-2010-typology-near-identity-relations-coreference/)
72. [**Fast Rhetorical Structure Theory Discourse Parsing**Michael Heilman, Kenji Sagae*2015 · 56 citations*](https://md.research.elamur.ai/free/en/papers/heilman-2015-fast-rhetorical-structure-theory-discourse/)
73. [**Speaker Turn Modeling for Dialogue Act Classification**Zihao He, Leili Tavabi, Kristina Lerman, et al.*2021 · 43 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-speaker-turn-modeling-dialogue-act/)
74. [**Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality**Pei Zhou, Hyundong Cho, Pegah Jandaghi, et al.*2022 · 34 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2022-reflect-not-reflex-inference-based/)
75. [**Recognizing Expressions of Commonsense Psychology in English Text**Andrew Gordon, Abe Kazemzadeh, Anish Nair, et al.*2003 · 28 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2003-recognizing-expressions-commonsense-psychology-english/)
76. [**ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation**Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, et al.*2023 · 24 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-paraamr-large-scale-syntactically-diverse/)
77. [**LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages**Jared Coleman, Bhaskar Krishnamachari, Ruben Rosales, et al.*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/coleman-2024-llm-assisted-rule-based-machine/)
78. [**ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions**Olga Uryupina, Ron Artstein, Antonella Bristot, et al.*2016 · 13 citations*](https://md.research.elamur.ai/free/en/papers/uryupina-2016-arrau-linguistically-motivated-annotation-anaphoric/)
79. [**Character Coreference Resolution in Movie Screenplays**Sabyasachee Baruah, Shrikanth Narayanan*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/baruah-2023-character-coreference-resolution-movie-screenplays/)
80. [**The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages**Vesa Akerman, David Baines, Damien Daspit, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/akerman-2023-ebible-corpus-data-model-benchmarks/)
81. [**Annotating FrameNet via Structure-Conditioned Language Generation**Xinyue Cui, Swabha Swayamdipta*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/cui-2024-annotating-framenet-structure-conditioned-language/)
82. [**PANGLOSS: Knowledge-Based Machine Translation**Eduard Hovy*1994 · 3 citations*](https://md.research.elamur.ai/free/en/papers/hovy-1994-pangloss-knowledge-based-machine-translation/)
83. [**DRInQ: Evaluating Conversational Implicature with Controlled Context Variation**Hirona Jacqueline Arai, Xiang Ren*2026*](https://md.research.elamur.ai/free/en/papers/arai-2026-drinq-evaluating-conversational-implicature-controlled/)
84. [**TabletCraft: Bridging a 4,000-Year Cultural Gap with Bidirectional Akkadian NMT and Cuneiform Rendering**Zhaohui Geoffrey Wang*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-tabletcraft-bridging-4-000-year/)
85. [**SWAN: Semantic Watermarking with Abstract Meaning Representation**Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-swan-semantic-watermarking-abstract-meaning/)
86. [**DiPS: Dialogue Policy Selection for High-Stakes Persuasion Agents**Tianyi Zhang, Mousumi Das, Abrar Anwar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-dips-dialogue-policy-selection-high/)
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