Sachin Kumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
15
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Leveraging Pretrained Language Models as Energy Functions for Glauber Dynamics Text Diffusion. | Tarun Kathuria, Sachin Kumar |
| 2026 | ACL | Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models. | Sachin Kumar |
| 2026 | ACL | FLEXITOKENS: Flexible Tokenization for Evolving Language Models. | Abraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar |
| 2026 | ACL | Reasoning Up the Instruction Ladder for Controllable Language Models. | Zishuo Zheng, Vidhisha Balachandran, Chan Young Park, Faeze Brahman, Sachin Kumar |
| 2026 | EACL | ClinicalTrialsHub: Bridging Registries and Literature for Comprehensive Clinical Trial Access. | Jiwoo Park, Ruoqi Liu, Avani Jagdale, Andrew Srisuwananukorn, Jing Zhao, Ping Zhang, Sachin Kumar |
| 2026 | IUI | Accepted with Minor Revisions: Value of AI-Assisted Scientific Writing. | Sanchaita Hazra, Doeun Lee, Bodhisattwa Prasad Majumder, Sachin Kumar |
| 2025 | ACL | Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. | Lester James Validad Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi |
| 2025 | ACL | Steering off Course: Reliability Challenges in Steering Language Models. | Patrick Queiroz Da Silva, Hari Sethuraman, Dheeraj Rajagopal, Hannaneh Hajishirzi, Sachin Kumar |
| 2025 | ACL | TESS 2: A Large-Scale Generalist Diffusion Language Model. | Jaesung Tae, Hamish Ivison, Sachin Kumar, Arman Cohan |
| 2025 | NAACL | GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models. | Harsh Kohli, Sachin Kumar, Huan Sun |
| 2025 | NAACL | ComPO: Community Preferences for Language Model Personalization. | Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi |
| 2025 | NAACL | RewardBench: Evaluating Reward Models for Language Modeling. | Nathan Lambert, Valentina Pyatkin, Jacob Morrison, Lester James V. Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi |
| 2024 | ACL | Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. | Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo |
| 2024 | ICLR | Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions. | Sachin Kumar, Chan Young Park, Yulia Tsvetkov |
| 2024 | NAACL | David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs. | Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad |
| 2024 | NAACL | P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models. | Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov |
| 2023 | ACL | SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. | Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov |
| 2023 | ACL | On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. | Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov |
| 2023 | ACL | Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. | Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov |
| 2023 | EACL | Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. | Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov |
| 2023 | EMNLP | Mitigating Societal Harms in Large Language Models. | Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov |
| 2023 | EMNLP | Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. | Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov |
| 2022 | EMNLP | Gradient-based Constrained Sampling from Language Models. | Sachin Kumar, Biswajit Paria, Yulia Tsvetkov |
| 2022 | EMNLP | Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. | Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi |
| 2022 | IJCNN | Does Social Media Feed Tell about Your Mental State? A Deep Randomised Neural Network Approach. | Sachin Kumar, Zairu Nisha |
| 2022 | WWW | Accepted Tutorials at The Web Conference 2022. | Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He |
| 2021 | ACL | Machine Translation into Low-resource Language Varieties. | Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, Yulia Tsvetkov |
| 2020 | ICDM | CAMTA: Causal Attention Model for Multi-touch Attribution. | Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2020 | IJCAI | Neural Abstractive Summarization with Structural Attention. | Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty |
| 2019 | EMNLP | A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation. | Gayatri Bhat, Sachin Kumar, Yulia Tsvetkov |
| 2019 | EMNLP | Topics to Avoid: Demoting Latent Confounds in Text Classification. | Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov |
| 2019 | ICLR | Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs. | Sachin Kumar, Yulia Tsvetkov |
| 2019 | NLDB | Understanding User Query Intent and Target Terms in Legal Domain. | Sachin Kumar, Regina Politi |
| 2018 | CIKM | Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion. | Shreshtha Mundra, Sachin Kumar, Manjira Sinha, Sandya Mannarswamy |
| 2018 | ISCAS | Efficient Hardware Accelerator for NORX Authenticated Encryption. | Sachin Kumar, Jawad Haj-Yahya, Anupam Chattopadhyay |
| 2017 | IJCAI | Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading. | Sachin Kumar, Soumen Chakrabarti, Shourya Roy |
| 2017 | ISDA | Predictive Analysis of Alertness Related Features for Driver Drowsiness Detection. | Sachin Kumar, Anushtha Kalia, Arjun Sharma |
| 2016 | ISCAS | A VLSI-efficient signed magnitude comparator for { 2n-1, 2n, 2n +2n+1-1} RNS. | Sachin Kumar, Chip-Hong Chang |
| 2015 | VTC | On the Linear Combination of Gamma Conditionally Gaussian Distributions with Application to Decode and Forward Cooperation. | Sachin Kumar, A. Rathnakar, G. V. V. Sharma |
| 2014 | ISCAS | Area-efficient and fast sign detection for four-moduli set RNS {2 | Chip-Hong Chang, Sachin Kumar |
| 2008 | IJCNN | A hybrid prognostics methodology for electronic products. | Sachin Kumar, Myra Torres, Y. C. Chan, Michael G. Pecht |