Sachin Kumar
32 papers · 2017–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
🗺️ Taxonomy Completionist (60) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🏆
Keyword Champion
(3)
🧭
Keyword Pioneer
👥
Mega-Team · Squad
🤝
Dynamic Duo
(21)
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
💎
Century Club · Bronze
🗃️
Keyword Collector
(169)
Top co-authors
Research topics
Natural Language Processing
(21)
Machine Learning
(20)
Deep Learning
(19)
Artificial Intelligence
(16)
Core AI
(14)
Generation
(12)
Learning Types · Deep Learning
(9)
Learning Types · Machine Learning
(9)
Application Areas
(7)
Models
(7)
Resources & Methods
(7)
Applications
(6)
Core Methods
(5)
Architectures
(4)
Optimization & Theory
(3)
Keywords
language model
(10)
machine translation
(4)
text generation
(4)
diffusion language model
(3)
large language model
(3)
reinforcement learning from human feedback
(3)
safety training
(2)
benchmark evaluation
(2)
word embedding
(2)
domain adaptation
(2)
diffusion model
(2)
reward model
(2)
controlled text generation
(2)
gradient-based optimization
(2)
autoregressive model
(2)
language model alignment
(2)
responsible ai
(2)
neural machine translation
(2)
zero-shot learning
(2)
preference optimization
(2)
Papers
ClinicalTrialsHub: Bridging Registries and Literature for Comprehensive Clinical Trial Access
EACL 2026
CE-Bench: Towards a Reliable Contrastive Evaluation Benchmark of Interpretability of Sparse Autoencoders
EMNLP 2025
ComPO: Community Preferences for Language Model Personalization
NAACL 2025
GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models
NAACL 2025
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
ACL 2025
RewardBench: Evaluating Reward Models for Language Modeling
NAACL 2025
Steering off Course: Reliability Challenges in Steering Language Models
ACL 2025
TESS 2: A Large-Scale Generalist Diffusion Language Model
ACL 2025
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs
NAACL 2024
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
ICLR 2024
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
NeurIPS 2024
P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models
NAACL 2024
The Art of Saying No: Contextual Noncompliance in Language Models
NeurIPS 2024
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
NeurIPS 2024
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
EMNLP 2023
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
EACL 2023
Minding Language Models’ (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker
ACL 2023
Mitigating Societal Harms in Large Language Models
EMNLP 2023
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
ACL 2023
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
ACL 2023
Gradient-based Constrained Sampling from Language Models
EMNLP 2022
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation
EMNLP 2022
Controlled Text Generation as Continuous Optimization with Multiple Constraints
NeurIPS 2021
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs
EMNLP 2021
Machine Translation into Low-resource Language Varieties
ACL 2021
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards
ACL 2020
Neural Abstractive Summarization with Structural Attention
IJCAI 2020
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation
EMNLP 2019
Topics to Avoid: Demoting Latent Confounds in Text Classification
EMNLP 2019
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
ICLR 2019
Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading
IJCAI 2017